Free LLM Roadmap 1-hour Crash Course - From Beginner to Advanced Level

Free LLM Roadmap 1-hour Crash Course - From Beginner to Advanced Level

Two months ago I hosted a live webinar that covered a detailed LLM roadmap, and it was a huge success with more than 700 registers. This crash course covers the LLM roadmap from beginner to advanced. The roadmap covers resources for the following:

1. LLM Basics & Architecture

1.1. Building & Training LLM From Scratch

1.2. Best Resources On Building Datasets to Trian LLMs

2. Mastering Large Language Model (LLM) Fine-Tuning: Top Learning Resources

2.1. 14 Free Large Language Models Fine-Tuning Notebooks

2.2. Best Resources to Learn & Understand Evaluating LLMs

2.3. Overview of LLM Quantization Techniques & Where to Learn Each of Them?

2.4. Top Resources to Learn & Understand RLHF & LLM Alignment

2.5. How do you stay updated with LLMs Research & Industry News?

3. Building LLM Applications In Production

3.1. Best Resoruces to Learn Prompt Engineering

3.2. Top Resources to Master Vector Databases & Building a Vector Storage

3.3. Top Resources to Master RAG: From Basic Level to Advanced

3.4. 5 Free Tools to Run Large Language Models (LLM) Locally on Your Laptop

3.5. Deploying LLMs: Top Learning & Educational Resources to Get Started

3.6. Getting Started with LLM Inference Optimization: Best Resources

3.7. What are LLMOps, and how do you get started with Them?

3.8. Securing LLMs: Best Learning & Educational Resources

4. Building LLM Project Portoflio

4.1. 10 Large Language Models Projects Ideas To Build Your Portfolio

4.2. 10 Guided Large Language Models Projects to Build Your Portfolio


You can download the 1-hour crash course for free from this link and happy learning!

DR. ARIADNE-ANNE DeTSAMBALI

PhD Research Student on Mechanics & Materials

1 个月

Thanks for sharing

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Amina MOUDJAR ????????

Muslim AI enthusiast with Software engineering background | supporting Free Palestine ????

1 个月

????? ??????? ??????? ?generative Ai ?? computer vision ??

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Sanju Vikasini

M.Tech CSE(AI and ML) @ VIT, Vellore | Generative AI | Data science | Bioinformatics

1 个月

Can you please share the PDF?

Dr.Mohammed Zakir B

Associate Professor(AI/ML),IEEE Senior Member ,IEEE Branch counselor and Execom member of IEEE CEDA.

1 个月

Not able to download

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