DEEP DIVE

Technical Deep Dive

Based on Andrej Karpathy's comprehensive video lecture on LLMs.

01

Pre-Training Fundamentals

How models learn from internet-scale data
→ 02

Inference & Base Models

How text generation actually works
→ 03

Post-Training & Fine-Tuning

Making base models useful and safe
→ 04

Hallucinations & Mitigations

Why models make things up and how to prevent it
→ 05

Reinforcement Learning

Training models with human feedback
→ 06

Future Directions

Where LLM technology is heading
→ 07

LLM Observability

Monitoring and debugging LLM applications
→ 08

Memory Systems

Giving LLMs long-term memory
→