LLMs Mastery: Complete Guide to Transformers & Generative AI

Generative AI, LLMs, ChatGPT, GPT4, Llama3, Decoders, T5, BERT, LoRA, FSDP, 4bit, Machine Learning, Data Science

What you'll learn:
Grasp NLP Fundamentals: Understand the evolution from rule-based systems to advanced LLMs like Llama3, Gemma2, Phi3, and Mistral.
Master Transformers & LLMs: Learn the architecture and application of Transformers in depth. Including tokenization, embeddings, pre-training & fine-tunning.
Understand Generative AI Principles: Develop skills in building and fine-tuning generative models for real-world applications using RLHF and Chat-Templates
Use Transformer Models: Overview LLMs and Encoder-Decoder models like BERT, GPT, T5, Llama and more in many different NLP tasks: Personal assistant, Reviews, QA
Specialised Techniques: Implement 8-bit and 4-bit training, and use tools like DeepSpeed and FSDP, along with PeFT, LoRA, FlashAttention and more.

Requirements:
Basic understanding of Python programming, some basic familiarity with machine learning concepts, and a strong eagerness to delve into LLMs and text analysis..

Description:
Welcome to "LLMs Mastery: Complete Guide to Generative AI & Transformers"!This comprehensive guide is designed to equip you with the knowledge and skills to build efficient, production-ready AI models using cutting-edge technologies.Key Topics Covered:Generative AI: Understand the principles and applications of Generative AI in creating new data instances.ChatGPT & GPT4: Dive into the workings of advanced AI models like ChatGPT and GPT4.LLMs: Learn about Language Models (LLMs) and their role in understanding and generating human-like text.Encoder-Decoders: Master the concept of encoder-decoder models in the context of Transformers.T5, GPT2, BERT: Get hands-on experience with popular Transformer models such as T5, GPT2, and BERT.Machine Learning & Data: Understand the role of machine learning and data in training robust AI models.What You Will Learn:Natural Language Processing Basics️ Journey through the evolution of NLP, from the Rule-Based Systems Era to the Embeddings Era.️ Lay a solid foundation in NLP for more advanced topics.Introduction to TransformersLearn about the architecture of Transformer models, including attention mechanisms, encoders, and decoders.️ Understand pre-training and fine-tuning strategies.Explore tokenization and embeddings, critical components of Transformer models.Popular Transformer ModelsDive into popular Transformer models: BERT (encoder-only), GPT (decoder-only), and T5 (encoder-decoder).Gain deeper insights into the capabilities and potential of Transformer technology.Using Transformers (Practical)Get hands-on experience with Transformer models in real-world applications.Master tokenization, embeddings, and masked language models (MLMs).Build a Semantic Search Index project.NLP Tasks and Applications (Practical)Learn how to use BERT for extractive question answering, GPT for building a personal assistant, and T5 for writing product reviews.Experience the practical applications of NLP tasks.Who This Course Is For:‍ Perfect for anyone interested in AI, machine learning, and data science.Ideal for both seasoned professionals and curious beginners.Ready to dive into the world of Generative AI and TransformersEnroll today and start your journey to mastery!

Who this course is for:
Those who wish to understand the new world of LLMs, how chatGPT and GPT4 work, and how to build their own powerful language models.

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