Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·18h·
Discuss: Hacker News
🔄LLM RAG Pipelines
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
arxiv.org·10h
📊ModernBERT
An Analogy for Interpretability
lesswrong.com·23h
🔍AI Interpretability
Build a Personalized AI Assistant with Postgres
supabase.com·7h
💾Prompt Caching
How to use Gemini 2.5 to fine-tune video outputs on Vertex AI
cloud.google.com·22h
📊Feed Optimization
Introduction to Problem of Language Modeling
infinitely-fallible.bearblog.dev·17h
🧠LLM Inference
What LLMs Know About Their Users
schneier.com·3h
🪄Prompt Engineering
Jan Nano + Deepseek R1: Combining Remote Reasoning with Local Models using MCP
huggingface.co·5h·
Discuss: r/LocalLLaMA
📋MCP
AI’s “Intelligence Explosion” Is Coming. Here’s What That Means.
backreaction.blogspot.com·23h·
Discuss: backreaction.blogspot.com
🆕New AI
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·10h
🎛️Feed Filtering
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·32m
🧠LLM Inference
The 20+ most common AI terms explained, simply
threadreaderapp.com·22h
🧠LLM Inference
Is Google Ads wasting your money? Understanding average daily budgets
searchengineland.com·32m
😊Emojis
A Briefing on Logistic Regression
blog.engora.com·2h·
Discuss: Hacker News
📊Statistical Ranking
Conversational Intent-Driven GraphRAG: Enhancing Multi-Turn Dialogue Systems through Adaptive Dual-Retrieval of Flow Patterns and Context Semantics
arxiv.org·10h
🪄Prompt Engineering
Uncertainty Quantification on Graph Learning: A Survey
arxiv.org·10h
📇Vector Indexing
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.ai·19h·
Discuss: Hacker News
👨‍💻AI Coding
MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events
arxiv.org·10h
🛡️AI Safety
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·10h
📋Text Quality
RecLLM-R1: A Two-Stage Training Paradigm with Reinforcement Learning and Chain-of-Thought v1
arxiv.org·10h
🧠LLM Inference