Jelenia Góra

Pałac Wojanów, Wojanów 8, Jelenia Góra, Polska, 58-508

Subcategories (2)

Image for Large Language Models (LLMs) category
Large Language Models (LLMs)
Image for Small Language Models (SLMs) category
Small Language Models (SLMs)

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LLMs for Content Generation

14 godzin
Large Language Models (LLMs) are powerful tools for automating and enhancing content creation.This instructor-led, live training (online or onsite) is aimed at intermediate-level content creators, marketers, and educational technologists who wish to harness the power of LLMs for generating high-quality, diverse, and engaging content across various domains.By the end of this training, participants will be able to:
  • Understand the capabilities of LLMs and their application in content generation.
  • Set up and use LLMs for generating various types of content.
  • Apply best practices for prompting and fine-tuning LLMs to produce desired outputs.
  • Evaluate the quality of AI-generated content and refine it for specific audiences.
  • Explore advanced techniques for creative and multi-modal content generation with LLMs.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LLMs for Personalized Education

14 godzin
Large Language Models (LLMs) are used for processing and generating human-like text.This instructor-led, live training (online or onsite) is aimed at educators, EdTech professionals, and researchers with varying levels of experience and expertise who wish to leverage LLMs for creating personalized educational experiences.By the end of this training, participants will be able to:
  • Understand the architecture and capabilities of LLMs.
  • Identify opportunities for personalization in educational content using LLMs.
  • Design adaptive learning platforms that utilize LLMs for content personalization.
  • Implement LLM-driven strategies for enhancing student engagement and learning outcomes.
  • Evaluate the effectiveness of LLMs in educational settings and make data-driven decisions for improvements.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LLMs for Speech Recognition and Synthesis

14 godzin
Large Language Models (LLMs) are used in various AI applications, including speech recognition and synthesis, to process and generate human-like text and speech.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers and data scientists who wish to implement LLMs in speech recognition and synthesis systems.By the end of this training, participants will be able to:
  • Understand the role of LLMs in speech technologies.
  • Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
  • Integrate LLMs with speech recognition engines and speech synthesizers.
  • Evaluate and improve the performance of speech systems using LLMs.
  • Stay informed about current trends and future directions in speech technologies.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LLMs for Automated Customer Support

14 godzin
Large Language Models (LLMs) are a type of artificial intelligence that processes and generates human-like text, enabling more natural and effective automated customer support.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level customer support and IT professionals who wish to implement LLMs to create responsive and intelligent customer support chatbots.By the end of this training, participants will be able to:
  • Understand the fundamentals and architecture of Large Language Models (LLMs).
  • Design and integrate LLMs into customer support systems.
  • Enhance the responsiveness and user experience of chatbots.
  • Address ethical considerations and ensure compliance with industry standards.
  • Deploy and maintain an LLM-based chatbot for real-world applications.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LLMs for Sentiment Analysis

21 godzin
Large Language Models (LLMs) are deep neural network models that can generate natural language texts based on a given input or context.This instructor-led, live training (online or onsite) is aimed at intermediate-level data and marketing professionals who wish to apply LLMs to analyze and interpret public sentiment from various text sources such as social media posts, product reviews, and customer feedback.By the end of this training, participants will be able to:
  • Understand the principles of sentiment analysis and its application using LLMs.
  • Preprocess and prepare datasets for sentiment analysis.
  • Train and fine-tune LLMs to accurately reflect sentiment in text.
  • Analyze sentiment in real-time from social media and other text sources.
  • Integrate sentiment analysis findings into business strategies and decision-making processes.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LLMs for Code Generation and Documentation

14 godzin
Large Language Models (LLMs) are deep neural network models that can generate natural language texts based on a given input or context.This instructor-led, live training (online or onsite) is aimed at intermediate-level software developers and technical writers who wish to leverage LLMs to streamline their coding workflow and create detailed, comprehensive documentation.By the end of this training, participants will be able to:
  • Understand the role of LLMs in automating code generation and software documentation.
  • Utilize LLMs to create accurate and efficient code snippets and documentation.
  • Integrate LLMs into their software development lifecycle for enhanced productivity.
  • Maintain high-quality documentation standards using automated tools.
  • Address ethical considerations and best practices for using AI in software development.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LLMs for Business Intelligence

14 godzin
Large Language Models (LLMs) are deep neural network models that can generate natural language texts based on a given input or context. LLMs for Business Intelligence is an exploration of the transformative impact of LLMs on business data analysis.This instructor-led, live training (online or onsite) is aimed at intermediate-level business professionals and data analysts who wish to harness the power of LLMs for extracting business insights.By the end of this training, participants will be able to:
  • Understand the fundamentals and applications of LLMs in the context of business intelligence.
  • Apply LLMs to analyze large datasets and extract meaningful insights.
  • Integrate LLM-driven analytics into strategic business decision-making processes.
  • Evaluate the ethical considerations and best practices for using LLMs in business.
  • Anticipate future trends in AI and prepare for the evolving landscape of business intelligence.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI in Robotics: Creating Autonomous Solutions

28 godzin
Generative AI is a cutting-edge field of AI that focuses on creating systems that can generate new, complex patterns and behaviors.This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level robotics engineers and AI researchers who wish to design and implement autonomous robotic systems using Generative AI techniques.By the end of this training, participants will be able to:
  • Understand the core concepts of Generative AI as they apply to robotics.
  • Design and simulate autonomous robots using Generative AI models.
  • Implement AI algorithms for robotic perception and decision-making.
  • Evaluate the impact of AI-driven robots in various industries.
  • Address the ethical considerations of deploying autonomous robotic systems.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LlamaIndex: Developing LLM Powered Applications

42 godzin
LlamaIndex is a powerful indexing tool designed to enhance the capabilities of Large Language Models (LLMs) by allowing them to retrieve and utilize custom data sets effectively.This instructor-led, live training (online or onsite) is aimed at beginner-level to advanced-level developers and data scientists who wish to master LlamaIndex for developing innovative LLM-powered applications.By the end of this training, participants will be able to:
  • Set up and configure LlamaIndex for use with LLMs.
  • Index and query custom datasets using LlamaIndex to enhance LLM functionality.
  • Design and develop sophisticated applications that utilize LlamaIndex and LLMs.
  • Understand and apply best practices for working with LLMs and LlamaIndex.
  • Navigate the ethical considerations involved in deploying LLM-powered applications.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI in Education: Enhancing Personalized Learning

21 godzin
Generative AI is an innovative branch of artificial intelligence focused on creating algorithms that can generate new, previously unseen data points, content, or solutions.This instructor-led, live training (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalize education and enhance learning experiences.By the end of this training, participants will be able to:
  • Understand the principles and applications of Generative AI in the context of education.
  • Create personalized learning materials and pathways using AI.
  • Utilize AI tools for classroom management and content creation.
  • Address ethical considerations in the use of AI for education.
  • Develop strategies for integrating AI into educational curricula and administrative processes.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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LlamaIndex: Enhancing Contextual AI

14 godzin
LlamaIndex is an open-source data framework designed for applications that use Large Language Models (LLMs) and benefit from context augmentation. It's particularly useful for systems known as Retrieval-Augmented Generation (RAG) systems.This instructor-led, live training (online or onsite) is aimed at intermediate-level AI researchers, machine learning professionals, and data scientists who wish to use LlamaIndex to enhance the capabilities of AI models, making them more accurate and reliable for various applications.By the end of this training, participants will be able to:
  • Understand the principles and components of LlamaIndex.
  • Ingest and structure data for use with LLMs.
  • Implement context augmentation to improve AI model performance.
  • Integrate LlamaIndex into existing AI systems and workflows.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI for Data Synthesis

21 godzin
Generative AI is an area of artificial intelligence that focuses on creating new content, data, and models that can mimic real-world distributions. Synthetic data is a substitute for real data.This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to create synthetic datasets for AI model training where real data is scarce or sensitive.By the end of this training, participants will be able to:
  • Understand the role and creation of synthetic data in Generative AI.
  • Implement Generative AI models to produce high-quality synthetic data.
  • Assess the quality and utility of synthetic datasets.
  • Navigate the ethical and legal considerations in using synthetic data.
  • Apply synthetic data strategies to real-world AI challenges.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Google Gemini AI for Data Analysis

21 godzin
Google Gemini AI is a cutting-edge tool that provides users with natural language and visual interfaces to enhance data exploration, analysis, visualization, and communication.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.By the end of this training, participants will be able to:
  • Understand the fundamentals of Google Gemini AI.
  • Connect various data sources to Gemini AI.
  • Explore data using natural language queries.
  • Analyze data patterns and derive insights.
  • Create compelling data visualizations.
  • Communicate data-driven insights effectively.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI for Developers

21 godzin
Generative AI is a transformative technology in software development. It can streamline development processes, enhance developer productivity, and improve code quality.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate generative AI into their software development lifecycle (SDLC).By the end of this training, participants will be able to:
  • Understand the role and capabilities of generative AI in software development.
  • Utilize AI tools for coding, debugging, and code reviews.
  • Apply AI techniques for efficient root cause analysis.
  • Implement AI features to enhance the software development process.
  • Evaluate ethical considerations and best practices for AI in development.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Google Gemini AI for Content Creation

14 godzin
Google Gemini AI is a transformative tool for content creators, offering capabilities that streamline the creation process of content for various mediums, such as web content, marketing materials, and multimedia projects.This instructor-led, live training (online or onsite) is aimed at intermediate-level content creators who wish to utilize Google Gemini AI to enhance their content quality and efficiency.By the end of this training, participants will be able to:
  • Understand the role of AI in content creation.
  • Set up and use Google Gemini AI to generate and optimize content.
  • Apply text-to-text transformations to produce creative and original content.
  • Implement SEO strategies using AI-driven insights.
  • Analyze content performance and adapt strategies using Gemini AI.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI: Impact on Cyber Security

28 godzin
Generative AI is revolutionizing the field of cyber security, presenting both new opportunities for defense and novel challenges in the form of sophisticated threats.This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level cyber security professionals, IT managers, and policy makers who wish to understand the profound impact Generative AI is having on cyber security.By the end of this training, participants will be able to:
  • Comprehend the capabilities and applications of Generative AI in cyber security.
  • Recognize and anticipate AI-powered cyber threats and attacks.
  • Explore the use of Generative AI in strengthening cyber defense mechanisms.
  • Assess the ethical and legal considerations of employing Generative AI in cyber security.
  • Formulate strategies to integrate Generative AI into their cyber security practices.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Google Gemini AI for Transformative Customer Service

14 godzin
Google Gemini AI is a versatile tool designed to revolutionize customer service interactions by leveraging advanced machine learning algorithms. It enhances real-time communication across various platforms such as live chat, email support, and social media engagement. By automating routine tasks and providing actionable insights from customer data, Google Gemini AI significantly improves the overall customer experience and operational efficiency.This instructor-led, live training (online or onsite) is aimed at intermediate-level customer service professionals who wish to implement Google Gemini AI in their customer service operations.By the end of this training, participants will be able to:
  • Understand the impact of AI on customer service.
  • Set up Google Gemini AI to automate and personalize customer interactions.
  • Utilize text-to-text and image-to-text transformations to improve service efficiency.
  • Develop AI-driven strategies for real-time customer feedback analysis.
  • Explore advanced features to create a seamless customer service experience.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI for Managers

21 godzin
Generative AI is a transformative technology that is reshaping the landscape of business innovation, enabling new ways to create and customize products, services, and experiences.This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level managers who wish to understand and leverage Generative AI in their business strategies.By the end of this training, participants will be able to:
  • Grasp the fundamental concepts and capabilities of Generative AI.
  • Identify opportunities for applying Generative AI within their organizations.
  • Understand the ethical and legal considerations of using Generative AI.
  • Lead discussions and make informed decisions about AI projects.
  • Develop a roadmap for integrating Generative AI into their business processes.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Introduction to Google Gemini AI

14 godzin
Google Gemini AI is a cutting-edge large language model that offers advanced AI capabilities, such as natural language understanding, text generation, and semantic search, enabling developers to create more intuitive and responsive AI-driven applications.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to integrate AI functionalities into their applications using Google Gemini AI.By the end of this training, participants will be able to:
  • Understand the fundamentals of large language models.
  • Set up and use Google Gemini AI for various AI tasks.
  • Implement text-to-text and image-to-text transformations.
  • Build basic AI-driven applications.
  • Explore advanced features and customization options in Google Gemini AI.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI Advanced

21 godzin
Generative AI is an exciting and rapidly evolving field that focuses on creating new, synthetic instances of data that can pass for real data.This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level data scientists, machine learning engineers, and AI practitioners who wish to explore complex generative models and their applications in various industries.By the end of this training, participants will be able to:
  • Implement and train advanced generative models, including GANs, VAEs, and diffusion models.
  • Understand and apply the Transformer architecture in generative tasks.
  • Explore the ethical implications and challenges of Generative AI.
  • Apply advanced generative techniques to solve real-world problems in various industries.
  • Stay abreast of current research trends and future directions in Generative AI.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI with Large Language Models (LLMs)

21 godzin
Generative AI is a type of AI that can create original content such as text, images, music, and code. Large language models (LLMs) are powerful neural networks that can process and generate natural language. This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to learn how to use generative AI with LLMs for various tasks and domains.By the end of this training, participants will be able to:
  • Explain what generative AI is and how it works.
  • Describe the transformer architecture that powers LLMs.
  • Use empirical scaling laws to optimize LLMs for different tasks and constraints.
  • Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
  • Discuss the opportunities and risks of generative AI for society and business.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Small Language Models (SLMs): Developing Energy-Efficient AI

21 godzin
Small Language Models (SLMs) are efficient alternatives to larger models, offering comparable performance with significantly reduced computational and energy requirements.This instructor-led, live training (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to develop energy-efficient AI solutions with small language models that are both powerful and environmentally friendly.By the end of this training, participants will be able to:
  • Understand the impact of AI on energy consumption and the environment.
  • Apply model compression and optimization techniques to reduce the size and energy usage of AI models.
  • Utilize energy-efficient hardware and software frameworks for AI deployment.
  • Implement best practices for sustainable AI development.
  • Advocate for and contribute to sustainable practices in the AI industry.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI for Beginners

14 godzin
Generative AI is a subset of artificial intelligence focused on creating new content, whether it be text, images, or other data types, that is similar to but not identical to the content it has learned from.This instructor-led, live training (online or onsite) is aimed at beginner-level developers who wish to gain foundational knowledge and practical experience in Generative AI.By the end of this training, participants will be able to:
  • Understand the principles behind generative models and their applications.
  • Implement basic generative models using TensorFlow or PyTorch.
  • Generate new content using Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
  • Explore the ethical implications of generative AI.
  • Apply generative AI concepts to real-world scenarios.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Small Language Models (SLMs) for Human-AI Interactions

14 godzin
Small Language Models (SLMs) are compact yet powerful tools for enabling sophisticated human-AI interactions in various applications, including conversational AI and customer service bots.This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists, machine learning and AI researchers who wish to create engaging and efficient AI-powered conversational experiences with small language models.By the end of this training, participants will be able to:
  • Understand the fundamentals of conversational AI and the role of SLMs.
  • Design and implement user-centric AI interactions.
  • Develop and train SLMs for interactive applications.
  • Evaluate and improve the effectiveness of human-AI communication using appropriate metrics.
  • Deploy scalable and ethical AI-driven conversational interfaces in real-world scenarios.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Adobe Firefly: Generative AI for Creatives

14 godzin
Adobe Firefly is a product and a model that uses generative AI to create images, text effects, and color palettes from simple text prompts.This instructor-led, live training (online or onsite) is aimed at beginner-level designers, artists, and content creators who wish to use Adobe Firefly to enhance their creativity and productivity.By the end of this training, participants will be able to:
  • Set up a development environment that includes Adobe Firefly and Adobe Creative Cloud.
  • Create images, text effects, and color palettes from text prompts using Adobe Firefly.
  • Use Adobe Firefly in Adobe apps like Photoshop, Illustrator, and Express.
  • Generate content that is safe for commercial use and respects the rights of content creators.
  • Apply ethical and responsible principles when using generative AI.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Advanced LLMs for NLP Tasks

21 godzin
Large language models (LLMs) are AI models that can process and generate large amounts of natural language data, such as text, speech, and audio. LLMs can learn the patterns and structure of their input training data and then generate new data that has similar characteristics. LLMs can also perform various natural language processing (NLP) tasks, such as natural language understanding (NLU), natural language inference (NLI), knowledge graph construction and completion, commonsense reasoning, dialogue generation and management, and multimodal generation and understanding.This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.By the end of this training, participants will be able to:
  • Establish a development environment with LLMs and essential tools.
  • Expertly perform NLU and NLI tasks with LLMs.
  • Extract, infer, and utilize knowledge graphs effectively.
  • Generate and manage dialogues using LLMs for conversational applications.
  • Evaluate content quality and diversity generated by LLMs and generative AI.
  • Apply ethical principles, ensuring fairness and responsible use of LLMs.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Small Language Models (SLMs) for Domain-Specific Applications

28 godzin
Small Language Models (SLMs) are a cutting-edge subset of AI that enables efficient language processing on devices with limited computational resources.This instructor-led, live training (online or onsite) is aimed at intermediate-level data scientists and machine learning engineers who wish to create and apply small language models tailored for specific domains such as legal, medical, and technical fields.By the end of this training, participants will be able to:
  • Understand the importance and application of domain-specific language models.
  • Curate and preprocess specialized datasets for model training.
  • Train and fine-tune language models for domain-specific applications.
  • Evaluate and benchmark models using domain-relevant metrics.
  • Deploy domain-specific language models in real-world scenarios.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Generative AI: Creating Novel Content with AI Models

14 godzin
Generative AI (GenAI) is a category of AI algorithms that can create new and realistic content from existing data, such as images, text, audio, and more. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use generative AI to create novel and diverse content for various purposes.By the end of this training, participants will be able to:
  • Set up a development environment that includes generative AI models and tools.
  • Create images, text, audio, and other content from text prompts using generative AI.
  • Use generative AI in different domains such as art, design, entertainment, and education.
  • Evaluate the quality and diversity of the content generated by generative AI.
  • Understand the ethical and social implications of generative AI.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Introduction to Large Language Models (LLMs)

14 godzin
Large Language Models (LLMs) are deep neural network models that can generate natural language texts based on a given input or context. They are trained on large amounts of text data from various domains and sources, and they can capture the syntactic and semantic patterns of natural language. LLMs have achieved impressive results on various natural language tasks such as text summarization, question answering, text generation, and more. This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use Large Language Models for various natural language tasks. By the end of this training, participants will be able to:
  • Set up a development environment that includes a popular LLM.
  • Create a basic LLM and fine-tune it on a custom dataset.
  • Use LLMs for different natural language tasks such as text summarization, question answering, text generation, and more.
  • Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Small Language Models (SLMs): Applications and Innovations

14 godzin
Small Language Models (SLMs) are a cutting-edge subset of AI that enables efficient language processing on devices with limited computational resources.This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data scientists and developers who wish to implement and leverage Small Language Models in various applications.By the end of this training, participants will be able to:
  • Understand the architecture and functionality of Small Language Models.
  • Implement SLMs for tasks such as text generation and sentiment analysis.
  • Optimize and fine-tune SLMs for specific use cases.
  • Deploy SLMs in resource-constrained environments.
  • Evaluate and interpret the performance of SLMs in real-world scenarios.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Opinie uczestników (12)

przykłady i ćwiczenia

Kamil
Szkolenie - Introduction to Data Science and AI using Python

Kontakt z prowadzącą - Anna była bardzo dobrą rozmówczynią i świetną prowadzącą - słuchała naszych pytań, opinii i przemyśleń i bardzo aktywnie odpowiadała na nasze potrzeby - czy to pokazując dodatkowe rzeczy, albo modyfikując przykłady tak, by odzwierciedlały w jakiś sposób problemy, z jakimi możemy się spotkać w naszej dziedzinie operacji.

Bartosz Kratochwil
Szkolenie - Introduction to Data Science and AI using Python

Przykłady z życia oraz praktyczne podejście do tematu.

Damian Pierończyk - Tech-Com sp. z o.o.
Szkolenie - OptaPlanner in Practice

The course is very interesting being the main focus nowdays

mohamed taher - FAB banak Egypt
Szkolenie - Introduction to Data Science and AI (using Python)

Ahmed was very interactive and didn’t mind answering any kind of questions Well presentation and smooth flow of the course

Mohamed Ghowaiba - FAB banak Egypt
Szkolenie - Introduction to Data Science and AI (using Python)

Helpful and good listener .. interactive

Ahmed El Kholy - FAB banak Egypt
Szkolenie - Introduction to Data Science and AI (using Python)

Wszystkie przedstawione informacje

Jose Victor - si
Szkolenie - Artificial Intelligence (AI) for Managers

Przetłumaczone przez sztuczną inteligencję

Podane ćwiczenia i przykłady.

Marcos - si
Szkolenie - Artificial Intelligence (AI) for Managers

Przetłumaczone przez sztuczną inteligencję

Tematy związane z Machine Lerning.

Víctor Edgar - si
Szkolenie - Artificial Intelligence (AI) for Managers

Przetłumaczone przez sztuczną inteligencję

Postawa nauczyciela

Ivonne Guadalupe Avendaño Hernandez - si
Szkolenie - Artificial Intelligence (AI) for Managers

Przetłumaczone przez sztuczną inteligencję

Nauczane koncepcje były jasne, praktyczne i bardzo pomocne w zrozumieniu, jak korzystać z tego tematu AI i ML.

Miguel - si
Szkolenie - Artificial Intelligence (AI) for Managers

Przetłumaczone przez sztuczną inteligencję

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc
Szkolenie - OptaPlanner in Practice

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