Generative AI and Large Language Models

"Overview: Generative Al has emerged as a game-changer for companies grappling with the challenges ofunstructured data and content generation. In today's data-driven landscape, various business sectors,such as IT companies, financial corporations, healthcare organizations, and manufacturing firms etc.,rely heavily on large volumes of diverse textual data, images, audio, video etc. With the increasingdemand for cross-lingual capabilities, Generative Al has gained paramount importance. Generative Al isthe backbone of transformative technologies like language models and creative content generationshaping industries such as media, entertainment, marketing, and research. This comprehensive courseon Generative Al comprises of three main components: Fundamental Concepts of Generative Al,Applications of Generative Al, and Deep Learning for Generative Al. Students will gain profound insightsinto all three components, mastering algorithms that enable machines to create content, simulatehuman behavior, and generate imaginative solutions. Embrace the future of Al innovation and unlocklimitless possibilities with Generative Al. Several case studies will be used to demonstrate theapplication of these concepts in business context.Objective: Introduction to Generative Al and Large Language Models (LLMs)Transformers Architecture: Understanding the key components and its role in languagegeneration.Prompt Engineering and Instruction Fine-Tuning: Techniques to guide LLMs in generatingdesired outputsParameter Efficient Fine-Tuning (PEFT) for optimized model adaptation.Reinforcement Learning with Human Feedback: Enhancing LLM performance through humaninteraction.LLM-powered Applications: Text and Image Generation, creative applications, and more.Retrieval-Augmented Generation (RAG) and its potentialGenerative Image Models such as AutoEncoders, GANs, Diffusion Models, OpenAl CLIP etc.LangChain: Framework for developing applications using LLMsTraining & Deployment Strategies for LLMs.Responsible Al in Generative Al: Ethical considerations and mitigating biasesUse Cases & Case Studies: Real-world applications of Generative Al and LLMs"

"Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, ThirdEdition and other reference shared in seprate document"