This is a placeholder for useful Links I have come accross.

Development

• ADS Algorithms for Competitive Programming
• ADS Algorithms
• ADS Functional Data Structures
• ADS https://blog.evjang.com/2018/08/dijkstras.html
• ADS Top Algorithms/Data Structures/Concepts every computer science student should know
• ADS 15 fundamental system design concepts
• Bash Bash History Shortcuts You Will Actually Use
• Bash Productive Shell Commands and Command-Line Tricks
• Bash The Art of Command Line
• Educ A Self-Learning, Modern Computer Science Curriculum
• Educ Elements of Programming
• Educ Introduction to Theoretical Computer Science
• Func From design patterns to category theory
• Func Functional Python
• Func Of Algebirds, Monoids, Monads, and other Bestiary for Large-Scale Data Analytics
• Func SICP Distilled An idiosyncratic tour of SICP in Clojure
• Func The Science of Functional Programming
• Funct Anatomy of functional programming
• Funct The algebra (and calculus!) of algebraic data types
• IDE VS Code can do that?!
• UI Communicating with Interactive Articles
• UI CSS Learn CSS
• UI CSS The Rules of Margin Collapse
• UI CSS UnusedCSS - Remove Unused CSS
• UI CSS Visual design rules you can safely follow every time
• VCS Learn Git Branching

Machine Learning

• fast.ai—Making neural nets uncool again
• Dive into Deep Learning
• Hugging Face – The AI community building the future
• Top 10 Javascript Libraries for Machine Learning and Data Science
• Foundations of Machine Learning
• Product Quantization: Compressing high-dimensional vectors by 97%
• An Overview of Logic in AI and Machine Learning
• Causal Inference: What If (the book)
• OpenNMT-py: Open-Source Neural Machine Translation
• Modern SAT solvers: fast, neat and underused
• The Machine Learning cheatsheet
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• Understanding Deep Learning Book
• Model Based Machine Learning Book
• Deep Learning Interviews Book
• Mutlimodal Deep Learning Book
• Composing retrieval and language models for knowledge-intensive NLP NLP
• Papers with Code
• flair - framework for state-of-the-art NLP
• Key Papers in Deep RL
• Unifying Logical and Statistical AI
• Best of Machine Learning
• Visual Information Theory
• AllenNLP
• An Introduction To Data Science On The Linux Command Line
• The Transformer Family Version 2.0

Large Language Models

• Overcoming the Limitations of Large Language Models
• Prompt-driven search with LLMs
• txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications
• Multimodal Chain-of-Thought Reasoning in Language Models
• List of Large Language Models to play with
• GPT for second brains - using GPT embeddings
• Storing OpenAI embeddings in Postgres with pgvector
• Awesome Prompt Engineering
• Prompt Engineering Guide
• Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch
• Understanding Large Language Models – A Transformative Reading List