Fine-tuning and Adapting GenAI Models in English

Fine-tuning and Adapting GenAI Models in English

Master Techniques to Customize, Optimize, and Deploy Generative AI Models for Real-World Applications

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What you'll learn

• Learn to use Google Colab for unleashing the power of Python's text analysis and deep learning ecosystem
• Introduction to the theory and implementation of LLMs and Generative AI
• Get acquainted with common Large Language Model (LLM) frameworks including LangChain
• Introduction to the theory and implementation of LLM Optimization
• Introduction to optimization techniques such as soft prompting
• Introduction to RAGs

Fine-tuning and Adapting GenAI Models in English

Unlock the potential of Generative AI with our in-depth course, "Fine-tuning and Adapting GenAI Models in English". Designed for AI professionals, data scientists, and developers, this course provides a comprehensive exploration of Generative AI concepts, Large Language Models (LLMs), and the practical skills needed to adapt these cutting-edge technologies for real-world applications. Whether you’re new to GenAI or looking to refine your expertise, this course equips you to customize and optimize models to meet diverse use cases effectively.

Course Overview:

This course offers an immersive dive into the principles and applications of Generative AI, with a focus on fine-tuning and adapting LLMs using leading frameworks like OpenAI, Hugging Face, and LangChain. You’ll explore the theoretical foundations of GenAI, learn advanced prompt engineering techniques, and discover how Retrieval-Augmented Generation (RAG) enhances AI capabilities. With hands-on assignments and expert guidance, you’ll master the tools and methodologies required to build powerful AI solutions, such as domain-specific chatbots, summarization systems, and question-answering applications.