← back to curriculum
github ↗
phase 10
Llms From Scratch
24 lessons · click any to read the docs
phase progress
0
/ 24 lessons · 0%
01
Tokenizers
01-tokenizers
read →
02
Building A Tokenizer
02-building-a-tokenizer
read →
03
Data Pipelines
03-data-pipelines
read →
04
Pre Training Mini Gpt
04-pre-training-mini-gpt
read →
05
Scaling Distributed
05-scaling-distributed
read →
06
Instruction Tuning Sft
06-instruction-tuning-sft
read →
07
Rlhf
07-rlhf
read →
08
Dpo
08-dpo
read →
09
Constitutional Ai Self Improvement
09-constitutional-ai-self-improvement
read →
10
Evaluation
10-evaluation
read →
11
Quantization
11-quantization
read →
12
Inference Optimization
12-inference-optimization
read →
13
Building Complete Llm Pipeline
13-building-complete-llm-pipeline
read →
14
Open Models Architecture Walkthroughs
14-open-models-architecture-walkthroughs
read →
15
Speculative Decoding Eagle3
15-speculative-decoding-eagle3
read →
16
Differential Attention V2
16-differential-attention-v2
read →
17
Native Sparse Attention
17-native-sparse-attention
read →
18
Multi Token Prediction
18-multi-token-prediction
read →
19
Dualpipe Parallelism
19-dualpipe-parallelism
read →
20
Deepseek V3 Walkthrough
20-deepseek-v3-walkthrough
read →
21
Jamba Hybrid Ssm Transformer
21-jamba-hybrid-ssm-transformer
read →
22
Async Hogwild Inference
22-async-hogwild-inference
read →
23
Speculative Decoding
25-speculative-decoding
read →
24
Gradient Checkpointing
34-gradient-checkpointing
read →