"Darwin-27B-Opus: Surpassing the Foundation Model Without Training"
FINAL-Bench
• • 16NEW Articles from Team or Enterprise organizations will get promoted to the main section.
SylloGym: A Multi-Turn Legal Reasoning Environment for RL Training
farffadet
• pgvector vs Elasticsearch vs Qdrant vs Pinecone vs Weaviate: A 14-Case Benchmark
ImranzamanML
• • 2The Geometry Is Real
klyfff
• Using OCR models with llama.cpp
ggml-org
• • 40Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
adaamko
• • 3How to Build a vLLM Plugin: A Guide to the general_plugins Entry Point
JonnaMat
• • 3De la fatiga al clic: Python e IA para vencer la carrera contra el reloj de los sexenios
DaniFera
• Lessons from 30 Years of Open Source for Running a Swarm of Coding Agents
Elron
• 2x Faster on a 229B MoE: EAGLE3 Speculative Decoding for MiniMax-M2.5
lujangusface
• • 3Building Harvey-style tabular review from scratch, but better
isaacus
• • 10Some Brief Notes: On the nature of Differentiable Intelligence and The Pitfalls of a Neural-Symbolic Paradigm in Solving the problem of Blackbox Feature Learning
dodgyQKVattention1
• Report on META-HARNESS
Svngoku
• • 2Omega Tokens: Finding The Self Solving Frame
AbstractPhil
• • 1ALTK‑Evolve: On‑the‑Job Learning for AI Agents
ibm-research
• • 29Darwin V6: Diagnostic-Guided Evolutionary Model Merging
FINAL-Bench
• • 12Running PersonaPlex-7B on Hugging Face ZeroGPU: A Complete Guide
norwooodsystems
• BidirLM: Turning Generative LLMs into the Best Open-Source Omnimodal Encoders
Nicolas-BZRD
• • 28How we OCR'ed 30,000 papers using Codex, open OCR models and Jobs
nielsr
• • 62Free Real-World Radar Dataset for ML Experimentation
InezCornell
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