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2025-11-17
Phi-4 proves that a 'data-first' SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and better-focused models has accelerated. The Phi-4 fine-tuning methodology [...]
2025-04-15
Hugging Face bets on open source to solve robotics' transparency problem
Hugging Face aims to make robotics more accessible through transparency and community-driven development.<br /> The article Hugging Face bets on open source to solve robotics' transparency [...]
2025-10-17
Hugging Face launches Omni Chat, an AI router for open source models
Hugging Face has launched HuggingChat Omni, an AI router that selects the best open source model for each user prompt from more than 100 available models.<br /> The article Hugging Face launches [...]
2025-02-24
Hugging Face explains how train large AI models in the "Ultra-Scale Playbook"
After investing more than six months of development time and a year of GPU compute time, Hugging Face has published a free, open-source manual that provides detailed instructions for efficiently train [...]
2025-07-10
Hugging Face warns that closed-source robots threaten user control
Hugging Face is sounding the alarm about a future where robots become opaque black boxes owned by just a handful of corporations.<br /> The article Hugging Face warns that closed-source robots t [...]
2025-10-03
Huawei's new open source technique shrinks LLMs to make them run on less powerful, less expensive hardware
Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality. Th [...]
2025-11-04
Forget Fine-Tuning: SAP’s RPT-1 Brings Ready-to-Use AI for Business Tasks
SAP aims to displace more general large language models with the release of its own foundational “tabular” model, which the company claims will reduce training requirements for enterprises. The m [...]