Machine Learning Career Guide
0.1.0
Coding
Machine Learning Theory
Machine Learning Systems
Applied Machine Learning
Canonical Micro-problems
Practical ML
Machine Learning Methods
Search & Recommendation
Multimodal Product Understanding
Machine Learning Tech
Language Understanding and Language Models
Large Language Models
Natural Language Processing
Vision Models
Graph Networks
Multimodal
1. Supervised Learning
2. Self-supervised & Weak Supervision
3. Fine-tuning Strategies
4. Labeling Techniques
5. Training Tricks
6. Representation & Retrieval
7. Fusion Methods (for multimodal data)
8. Domain Trade-offs
Problem Understanding
Practice Problems
End-to-end Design
Product System Design
General Skills
Non-Research Topics
Machine Learning Career Guide
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Machine Learning Tech
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Language Understanding and Language Models
Activations
Normalisation
Tokenizers
WordPiece
SentencePiece
Byte-Pair Encoding (BPE)
Word Embeddings
Sequence Modeling
RNN
LSTM
Transformer
General Resources
Position Encoding
Attention
Decoding
Transformer Architecture
Encoder [BERT]
Decoder [GPT]
Encoder-Decoder [T5]
Autoencoder [BART]
Cross-Lingual
Large Language Models
Training
Engineering
Objectives
Long Context LLMs
Special Techniques
Resources
Applied LLMs
Prompt Engineering
Embeddings for Retrieval
Retrieval Augmented Generation (RAG)
Notes: Modeling
Notes: Index Choice
Notes: RAG vs Long Context
Notes: LLM and KG
Known Issues
Hallucination
Sycophany
Monosemanticity
Natural Language Processing
Notes from Common NLP Tasks
Using In-Context Capability
NER
Disambiguation
Entity Linking
Relation Extraction
Link Prediction
Graph Completion
Question Answering
GraphRAG
MultiModal
Other NLP Tasks
Information Retrieval (IR)
0. Language Models in IR
1. Document Retrieval
2. Passage Retrieval
3. Query Expansion
4. Question Answering (QA)
Information Extraction (IE) Tasks
0. Language Models in IE
1. Named Entity Recognition (NER)
2. Relation Extraction
3. Event Extraction
4. Coreference Resolution
Classification Tasks
1. Sentiment Analysis
Sequence to Sequence Tasks
1. Machine Translation
2. Text Summarization
3. Text Generation
Multimodal Tasks
1. Text-to-Speech (TTS)
2. Speech Recognition
Extending Vocab for Domain-Adaptation or Fine-Tuning
1. Extend the Tokenizer Vocabulary
2. Tinkering with the Embedding Matrix
Notes
Vision Models
Resources
Industry Resources
Graph Networks
Resources
Multimodal
Diffusion
Tech
Resources
Industry
Misc
Paper List