🧠 LLMs - 1909707 · Scour

LayerBoost: Layer-Aware Attention Reduction for Efficient LLMs 🔗LangChain

Paper page - Large Language Models Explore by Latent Distilling 🔗LangChain

huggingface.co·2h

LLMs are the worlds most powerful autocomplete 🔗LangChain

alfredvc.no·16h·Hacker News

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning 🔗LangChain

machinelearning.apple.com·1d·Hacker News

Temporal Language Models 🔗LangChain

calcifercomputing.com·2d·Hacker News

Why Model Collapse in LLMs is Inevitable With Self-Learning 🔗LangChain

hackaday.com·15h·Hacker News

Inside Claude Code, OpenAI Codex, and HuggingFace's ML Engineer Agent 🔗LangChain

newsletter.artofsaience.com·3h

How to Build Your Own Language-Specific LLM [Full Handbook] 🔗LangChain

freecodecamp.org·5d

Large Language Models in Communications 🔗LangChain

databricks.com·1d

Android Bench - Evaluating LLMs On The Android Platform 🔗LangChain

i-programmer.info·23h

Retrieval-Augmented Generation (RAG) Systems with Claude 🔗LangChain

·12h

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

github.com·5h·DEV

Introducing talkie: a 13B vintage language model from 1930 🔗LangChain

talkie-lm.com·2d·Lobsters, Hacker News, r/LLM, r/LocalLLaMA, r/singularity

Beyond the next token: Why diffusion LLMs are changing the game 🔗LangChain

developers.redhat.com·3d

Two Heads Are Better Than One: Async Knowledge Injection for Speech AI with Tandem Architecture 🔗LangChain

pub.sakana.ai·22h·Hacker News

Vibe Training - Auto Train a Small Language Model for Your Use Case 🤖AI

diamantai.substack.com·2d·Substack, r/LocalLLaMA

llm 0.32a1 🔗LangChain

simonwillison.net·17h

Language Generation in the Limit 🔗LangChain

openreview.net·5d

On-Device LLM Challenges in Android Development with LiteRT-LM 🔗LangChain

woliveiras.com·2d·r/LLM

AutoSP: Long-Context LLM Training via Compiler-Based Sequence Parallelism 🔗LangChain

pytorch.org·22h·Hacker News

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