Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·18h·
Discuss: Hacker News
🔄LLM RAG Pipelines
A Principled Approach to Randomized Selection under Uncertainty
arxiv.org·10h
📊Statistical Ranking
An Analogy for Interpretability
lesswrong.com·23h
🔍AI Interpretability
Jan Nano + Deepseek R1: Combining Remote Reasoning with Local Models using MCP
huggingface.co·5h·
Discuss: r/LocalLLaMA
📋MCP
How to use Gemini 2.5 to fine-tune video outputs on Vertex AI
cloud.google.com·22h
📊Feed Optimization
A Briefing on Logistic Regression
blog.engora.com·2h·
Discuss: Hacker News
📊Statistical Ranking
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·16m
🧠LLM Inference
An AI-powered process to diagnose E-E-A-T issues
searchengineland.com·1h
📊Search Ranking
Scaling Pinterest ML Infrastructure with Ray: From Training to End-to-End ML Pipelines
medium.com·22h·
Discuss: Hacker News
🕯️Candle
Build a Personalized AI Assistant with Postgres
supabase.com·7h
💾Prompt Caching
Introduction to Problem of Language Modeling
infinitely-fallible.bearblog.dev·17h
🧠LLM Inference
The 20+ most common AI terms explained, simply
threadreaderapp.com·22h
🧠LLM Inference
Judge sides with Anthropic on using books to train models
semafor.com·3h
🎭Claude
Curating art exhibitions using machine learning
arxiv.org·10h
🧭Content Discovery
AI, peer review and the human activity of science
nature.com·3h
👨‍💻AI Coding
Accelerating Provider MDM in Healthcare with Databricks and AI
databricks.com·15h
🦆DuckDB
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·10h
📋Text Quality
TAI #158: The Great Acceleration: AI Revenue, M&A, and Talent Wars Erupt as the Industry Matures
pub.towardsai.net·21h
🆕New AI
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·10h
🎛️Feed Filtering
What LLMs Know About Their Users
schneier.com·3h
🪄Prompt Engineering