Anakin AI Tutorials & Guides

Lesson 1. Prerequisites

Lesson 2. Basic Python for LLMs

Lesson 3. Introduction to Neural Networks

Lesson 4. Natural Language Processing (NLP)

Lesson 1. Explaining the LLM Architecture

Lesson 2: Crafting an Instruction Dataset

Lesson 3: Supervised Fine-Tuning (SFT)

Lesson 4: Reinforcement Learning from Human Feedback (RLHF)

Lesson 5: LLM Evaluation

Lesson 6: Quantization

Lesson 1: Running LLMs

Lesson 2: Building a Vector Storage

Lesson 3: Retrieval Augmented Generation

Lesson 4: Advanced RAG

Lesson 5: Inference Optimization

Lesson 6: Deploying LLMs