[NEW] 2025:Mastering Generative AI-From LLMs to Applications

🌟 Mastering Generative AI - [NEW] 2024 Course 🌟

Generative AI: From Fundamentals to Advanced Applications

Embark on a transformative learning journey with our [NEW] 2024:Mastering Generative AI-From LLMs to Applications course, expertly crafted to take you from the basics to the cutting-edge applications of Large Language Models (LLMs) and beyond. 🧠✨

What You Will Learn:

This course is a treasure trove of knowledge that will enable you to:

• 📚 Foundational Knowledge: Dive into the evolution of AI, explore the core principles, and uncover the myriad use cases of Generative AI.

• 🚀 LLM Architecture and Training: Unravel the mysteries behind LLMs' architecture, understand their training processes, and learn how various performance factors come into play.

• 🎨 Prompt Engineering: Master the nuanced art of prompt crafting to harness the full potential of LLMs and navigate past their limitations.

• 🔧 Fine-Tuning and Optimization: Discover how to fine-tune LLMs for specific tasks using advanced techniques like PEFT, RLHF, and more, ensuring your models are as effective as possible.

• 🤖 RAG and Real-World Applications: Integrate LLMs with external knowledge sources using RAG, and apply these models to solve real-world problems in various industries.

• 🧑‍💼 Ethical Considerations: Understand the ethical implications of Generative AI and learn how to implement responsible AI practices.

Course Structure: A Step-by-Step Guide

The course is meticulously organized into 12 comprehensive sections, each designed to guide you through the world of Generative AI:

1. Introduction to Generative AI 🎯

   • Get acquainted with the landscape of Generative AI and its significance.

2. LLM Architecture and Resources 🏗️

   • Explore the different architectures that power LLMs and understand the resources available.

3. Generative AI LLM Lifecycle 🔄

   • Trace the lifecycle of an LLM, from inception to deployment.

4. Prompt Engineering Setup ⚙️

   • Learn how to set up a prompt engineering environment for optimal results.

5. LLM Properties 🧪

   • Identify and understand the properties of LLMs that define their capabilities and limitations.

6. Prompt Engineering Basic Guidelines ✅

   • Gain basic guidelines to craft effective prompts that guide LLMs towards desired outputs.

7. Better Prompting Techniques 🔧

   • Advanced techniques for refining your prompt engineering skills.

8. Full Fine Tuning 🎨

   • Learn the complete process of fine-tuning LLMs to specific tasks or datasets.

9. PEFT - LORA 🔬

   • Dive into Proxy-based Efficient Fine-Tuning (PEFT) and the Long-Runner Adaptation Game (LORA).

10. RLHF (Reinforcement Learning from Human Feedback) 🤝

    • Understand how RLHF can be used to fine-tune LLMs based on human feedback.

11. RAG (Retrieval Augmented Generation) 📋

    • Explore the integration of generative models with external knowledge sources using RAG.

12. Generative AI for Vision (Preview) 🖼️

    • Get a sneak peek into how Generative AI can be applied to vision tasks and the future of visual AI.

By completing this course, you will not only understand the intricacies of LLMs but also be well-equipped to build and deploy robust Generative AI solutions. Whether you are a data scientist, developer, or business professional, our course is designed to empower you with the necessary skills to excel in the dynamic field of Generative AI. Join us on this enlightening educational adventure! 🚀🎓