Coming soon…
The content includes the following topics:
📖 LLM Fundamentals
Basics and architecture of large language models (LLMs)
- Building and training LLMs from scratch
- Top resources for building datasets to train LLMs
- Mastering LLM fine-tuning: recommended learning resources
- Notebooks for LLM fine-tuning
- Best resources for evaluating LLMs
- Overview and learning resources for LLM quantization techniques
- Resources for learning reinforcement learning from human feedback (RLHF) and LLM alignment
- Staying updated with LLM research and industry news
Building LLM applications in production
- Top resources for learning prompt engineering
- Resources for mastering vector databases and building vector storage
- Resources for mastering retrieval-augmented generation (RAG), from basic to advanced levels
- Tools to run LLMs locally on your laptop
- Resources for deploying LLMs: top learning and educational materials
- Getting started with LLM inference optimization: recommended resources
- Introduction to LLMOps and how to get started
- Securing LLMs: best learning and educational resources
Building an LLM project portfolio
- LLM project ideas to build your portfolio
- Guided LLM projects to build your portfolio