Day-0 Muse Glimmer Support on Intel Platforms with vLLM and Hugging Face
MatrixYao
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How frontier models train on outcomes in 2026
sergiopaniego
• • 2Codette: a multi-perspective cognitive architecture with memory and meta-cognitive strategy evolution
Raiff1982
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finebooks
• • 12JOSIE-2: Small Language Models Trained for Reasoning, Honesty, and Independent Judgment
Goekdeniz-Guelmez
• • 1How Multi-Agent AI Systems Connect Multiple Enterprise Tools
prismberry-technologies
• • 1pt-PT ≠ pt-BR: why I built a dedicated European Portuguese support dataset
ariazevedo
• • 1Percurso de um novato no treino de uma pequena LLM em português europeu
inaciose
• Zero-Shot Text Classification in 2026: NLI, Embeddings, Rerankers, or LLMs?
aarabil
• • 1Detect BPM and Musical Key on CPU with Essentia and Gradio
Gboo2023
• 🔍 J'ai publié mes expériences de RL. Un lecteur a exécuté le code, et quatre de mes chiffres n'ont pas survécu 🇫🇷
RDTvlokip
• • 1🔍 I published my RL experiments. A reader ran the code, and four of my numbers didn't survive 🇫🇷
RDTvlokip
• • 1Inside the pipeline that placed 18th in a $77,000 Kaggle knee MRI competition
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• French lawyers are being told to keep confidential data out of ChatGPT, Claude, and Gemini
jedisct1
• • 1The Distillation Research: Why 15,000 Clean Traces Outperform 100,000 Raw Ones
Siddh07ETH
• • 2The Safety Mechanism Caused the Divergence
KissTheHabit
• Agreement, Anchors, Addresses: A Week of Geometric Training
AbstractPhil
• Model Genome: Fingerprinting Whether an LLM Was Trained From Scratch or Derived
mayafree
• • 14GLInt: Geometry-Matched Hard Negatives for Late-Interaction Retrieval
chungimungi
• • 9Blackwell isn't a monolith: what happens when you actually measure kernel performance on GB10
curtburk
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