RAG Explained: Understanding Embeddings, Similarity, and Retrieval
towardsdatascience.com·6h
📊Multi-vector RAG
StringWa.rs on GPUs: Databases & Bioinformatics 🦠
ashvardanian.com·2d·
Discuss: Hacker News, Hacker News, r/programming
🔄Burrows-Wheeler
Testing Compression with a Bash Script
gilesorr.com·2d
📦Deflate
Building Coding Agents via Entropy-Enhanced Multi-Turn Preference Optimization
arxiv.org·21h
🧠Intelligence Compression
Learning languages with the help of algorithms
johndcook.com·5h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Reading Between the Lines: Satisfaction Analysis from Untagged Chatbot Conversations
blog.checkpoint.com·12h
🎙️Whisper
Vectorization in Python for Machine Learning
dev.to·1d·
Discuss: DEV
⚡SIMD Vectorization
Reproducing GPT-2 (124M) in llm.c in 90 minutes for $20
github.com·10h·
Discuss: Hacker News
📊Performance Profiling
Semantic Dictionary Encoding
falvotech.com·2d·
Discuss: Hacker News
🌀Brotli Dictionary
Such a Classic
blog.hermesloom.org·6h·
Discuss: Hacker News
🧠Intelligence Compression
Stop fine-tuning LLMs for docs, use RAG
intlayer.org·1d·
Discuss: Hacker News, r/reactjs
🤖Archive Automation
2025-09-17: Classic Machine Learning Models and XAI Methods
ws-dl.blogspot.com·5h·
Discuss: ws-dl.blogspot.com
🧠Machine Learning
LLM Rerankers for RAG: A Practical Guide
fin.ai·3d·
Discuss: Hacker News, Hacker News
🔍Information Retrieval
A Transformer-Based Cross-Platform Analysis of Public Discourse on the 15-Minute City Paradigm
arxiv.org·1d
⚖️Feed Ranking
[D] How to best fine-tune a T5 model for a Seq2Seq extraction task with a very small dataset?
reddit.com·2d·
Discuss: r/MachineLearning
🔍Information Retrieval
utf-8-history.txt
cl.cam.ac.uk·1d·
Discuss: Lobsters
🔤Character Encoding
The Best Local Coding LLMs You Can Run Yourself
kdnuggets.com·13h
💻Local LLMs
Is GitHub Actions suitable for running benchmarks?
labs.quansight.org·12h·
Discuss: Lobsters, Hacker News
⚡Performance Mythology
4 Ways to Supercharge Your HLS Live Streaming App with AI-Powered Analysis
dev.to·11h·
Discuss: DEV
🎥Streaming Codecs
MedFact: Benchmarking the Fact-Checking Capabilities of Large Language Models on Chinese Medical Texts
arxiv.org·21h
🇨🇳Chinese Computing