🧠 LLMs - 1909707 · Scour

How to reliably connect LLMs to real-world data and systems 🔗LangChain

·7h

How to build custom reasoning agents with a fraction of the compute 🤖AI

venturebeat.com·1d

Effective Personalized AI Tutors via LLM-Guided Reinforcement Learning by Angel Tsai-Hsuan Chung, Botong Zhang, Ling-Chieh Kung, Hamsa Bastani, Osbert Bastani :... 🔗LangChain

papers.ssrn.com·20h

Language Generation in the Limit 🔗LangChain

openreview.net·5d

AI for Scientific Discovery 🤖AI

huggingscience.co·16h

Android Bench - Evaluating LLMs On The Android Platform 🔗LangChain

i-programmer.info·1d

There Will Be a Scientific Theory of Deep Learning 🤖AI

mail.bycloud.ai·22h

Legare Kerrison and Cedric Clyburn on LLM Performance and Evaluations 🔗LangChain

Text Summarization with Scikit-LLM 🔗LangChain

machinelearningmastery.com·3d

I build my LLM a Brain 🔗LangChain

news.ycombinator.com·2d·Hacker News

AmSach/kvquant: Drop-in KV cache compressor for local LLM inference - Run 70B models on 8GB RAM 🔗LangChain

github.com·6h·DEV

From $200 to $30: Five Layers of LLM Cost Optimization 🔗LangChain

blog.dwornikowski.com·6d·Hacker News

LLM 0.32a0 is a major backwards-compatible refactor 🔗LangChain

simonwillison.net·22h·Hacker News

Adaptive Thinking: Large Language Models Know When to Think in Latent Space 🔗LangChain

machinelearning.apple.com·1d

Granite 4.1 LLMs: How They’re Built 🔗LangChain

huggingface.co·1d·Hacker News

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models 🔗LangChain

Show HN: How LLMs Work – Interactive visual guide based on Karpathy's lecture 🔗LangChain

ynarwal.github.io·6d·Hacker News

Speculative Decoding vs MoE: 3.2x Cost Gap on Llama 3 🔗LangChain

tildalice.io·2d

Cross-checking LLM outputs at scale without manual overhead 🔗LangChain

asknestr.com·4d·r/OpenAI

A Primer on LLM Post-Training 🔗LangChain

pytorch.org·2d·Hacker News

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