Courseware / Machine Learning
Topic
Machine Learning
1. I learned that the Markov property is not just a convenient assumption—it is the linchpin that makes dynamic programming tractable in stochastic environments. Without it, the state space would explode with history dependence, rendering exact solution methods infeasible for rea…
Courses
22 coursesTopic Summary (Wiki Page)
Summary
wiki
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Markov Decision Processes (MDPs) for Systematic Trading Decisions
The Economics and Competitive Landscape of Large Language Models
Building a Permanent AI‑Powered Knowledge Base with Karpathy’s LLM Wiki Approach
The Atom of LLMs: Understanding Tokens and Tokenization
Self-Hosting Large Language Models: Running OpenAI Codex Locally with Ollama
Machine Learning: Deep Dive into Markov Decision Processes
Scaling Intelligence: The Architecture and Optimization of Kimi K2
This beginner guide to Karpathy's LLM Wiki is one of the most useful AI videos i've shared this year
Karpathy's idea: instead of asking AI questions every time, make it build you a permanent knowledge base that grows smarter over time
> drop your documents into a folder
>
Building a Persistent Knowledge Base: The LLM Wiki Method
Understanding Tokenization in Large Language Models
Local Deployment of Codex-Style AI: Running LLMs via Ollama
An In-depth Look at the Neural Networks Behind AI with Geoffrey Hinton
Understanding Personal Knowledge Bases through the Lens of Neural Networks
Mastering Efficient Vision Models: The Power of Contextual OCR
LongCat-Avatar: Open‑Source Talking Head Generation from Image and Audio
An In-Depth Look at the Journey of Demis Hassabis and the Development of Artificial General Intelligence
A Comprehensive Guide to Artificial Neural Networks and Language Learning
Understanding Personal Knowledge Bases through the Lens of Neural Networks
Speculative Decoding for Accelerated LLM Inference: Techniques, Implementation, and Tradeoffs
Democratizing Large Language Models: Running 70B Parameter Models on Consumer Hardware via ARLLM
Building Large Language Models from Scratch: A Comprehensive Guide Inspired by Andrej Karpathy's 6‑Hour Course
Building Large Language Models from Scratch: A Comprehensive Guide