Nimendra's Notes 🪴

llm

58 items with this tag.

Sep 25, 2026
Hands-on Large Language Models
Nov 07, 2026
Small Language Model
- llm
- agents
- ai
- slm
Nov 03, 2026
Weight-Space Programming - LLMs Reading and Editing Neural Weights
Oct 28, 2026
0. An Illustrated Guide to AI Agents
Oct 27, 2026
Context Language Models
Oct 21, 2026
DeepInfer - Learning Production-Scale LLM Inference
Oct 21, 2026
2. Tokens and Embeddings
Oct 18, 2026
Copy-Paste Language Model
Oct 16, 2026
Hybrid Reasoning Agents
Oct 12, 2026
2. LLMs and AI Agents
Oct 08, 2026
3. Resoning LLMs and AI Agents
Sep 28, 2026
Thinking Fast and Slow in AI - the Role of Metacognition
Sep 27, 2026
1. Introduction to AI Agents
Sep 27, 2026
The Bitter Lesson and Richard Sutton
Sep 25, 2026
1. An Introduction to LLM
Sep 25, 2026
Attention is All You Need (Transformers)
Sep 25, 2026
Decoder-Only Transformers (GPT)
Sep 25, 2026
Encoder-Only Transformers (BERT)
- ai
- llm
Sep 25, 2026
1. Introduction to LLMs
Sep 25, 2026
10. Interfacing LLMs with External Tools
Sep 25, 2026
11. Representation Learning and Embeddings
Sep 25, 2026
12. Retrieval-Augmented Generation (RAG)
Sep 25, 2026
2. Pre-Training Data
Sep 25, 2026
3. Vocabulary and Tokenization
Sep 25, 2026
4. Architectures (LLM)
Sep 25, 2026
5. Adapting LLMs to Your Use Case
Sep 25, 2026
6. Fine Tuning LLMs
Sep 25, 2026
9. Inference Optimization
Sep 25, 2026
LLM Post Training
Sep 25, 2026
KV cache
Sep 25, 2026
Prefix Caching Deep Dive
Sep 25, 2026
Prefix vs KV vs Prompt Caching
Sep 25, 2026
Prompt Caching In Agents
Sep 25, 2026
Prompt Caching in LLM
Sep 25, 2026
Backpropagation
Sep 25, 2026
FNN and RNN
Sep 25, 2026
How Compaction Works in Pi Agent
Sep 25, 2026
Jev and System One Models
Sep 25, 2026
LLM quantization
Sep 25, 2026
Mixture of Experts (MoE)
Sep 25, 2026
Model Weight
Sep 25, 2026
RLHF - Reinforcement Learning from Human Feedback
Sep 25, 2026
Chain of Thought (CoT)
Sep 25, 2026
DFlash - Block Diffusion for Flash Speculative Decoding
Sep 25, 2026
DeepSeek's DSpark
Sep 25, 2026
DeepSeek-V4.1-Flash - Architecture
Sep 25, 2026
ReAct
Sep 25, 2026
Rethinking Self-Evolving Agent Skills
Sep 25, 2026
Watermarking LLMs
Sep 25, 2026
1. Introduction to Harness Engineering
Sep 25, 2026
2. The Agent Loop and Caching
Sep 25, 2026
3. Context and Subagents
Sep 25, 2026
4. Steering and Background work
Sep 25, 2026
5. Frameworks, Extensions and Debugging
Sep 25, 2026
6. Reflexes and Guardrails
Sep 25, 2026
7. RAG - Retrieval as Context Selection
Sep 25, 2026
8. One Harness, Many Brains
Sep 25, 2026
9. Retries, Rate Limits and Streaming

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