Articles

• Training and Finetuning Embedding Models with Sentence Transformers
• Training and Finetuning Sparse Embedding Models with Sentence Transformers
• Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
• Model Distillation
• Scaling the Instagram Explore recommendations system
• Part 3: Intro to Policy Optimization (Spinning Up)
• Plan-and-Execute (LangGraph)
• Project: Deep Agents
• Illustrating Reinforcement Learning from Human Feedback (RLHF)
• Foundation: Introduction to LangChain - Python
• Foundation: Introduction to LangGraph
• Training and Finetuning Reranker Models with Sentence Transformers v4
• Mastering RAG: How to Select a Reranking Model
• Introduction to Recommender Systems: Content-Based, Collaborative Filtering, and Hybrid Recommendation Engines
• Reverse-mode automatic differentiation from scratch, in Python
• A Practical Guide to Contrastive Learning

Books

• Build a DeepSeek Model (From Scratch)
• Building Recommendation Systems in Python and JAX
• Speech and Language Processing

Research Papers

• LLaMA: Open and Efficient Foundation Language Models
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• Visual Instruction Tuning
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Learning Transferable Visual Models From Natural Language Supervision
• ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta
• Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval
• The Multilingual Curse at the Retrieval Layer: Evidence from Amharic
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• Training language models to follow instructions with human feedback
• Language Models are Few-Shot Learners
• Language Models are Unsupervised Multitask Learners
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• Attention Is All You Need
• Deep Residual Learning for Image Recognition
• Generative Adversarial Nets
• Neural Machine Translation by Jointly Learning to Align and Translate
• Efficient Estimation of Word Representations in Vector Space
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
• Recursive Language Models
• A Neural Probabilistic Language Model
• How Attentive are Graph Attention Networks?
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
• Graph Convolutional Neural Networks for Web-Scale Recommender Systems