On March 24, 2026, developers building AI applications with LiteLLM — a Python package with 95 million monthly downloads — ...
VMPLNew Delhi [India], August 5: Modern data architectures require highly optimized code. A raw Python script cannot process a ten-gigabyte dataset effectively. To solve this problem engineering teams ...
Gregory Kurtzer, open source founder of Rocky Linux, CentOS, Warewulf, and Apptainer, today launched OpenWALDO, an open source community project building a shared, governed corpus of AI training data, ...
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Inference startup Infinity raises $15M from Touring Capital, OpenAI and Athropic researchers
AI infrastructure company Infinity announced Monday a $15 million raise at a $100 million valuation from investors including Touring Capital, Principal VC, and researchers from companies such as ...
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NVIDIA Molt open-sources agentic RL training that scales to trillion-parameter models
NVIDIA Molt agentic RL framework, open-sourced July 22, 2026, delivers a PyTorch-native training stack of roughly 8,600 lines ...
A practical 2026 AI roadmap covers programming, data, machine learning, deep learning, LLMs, RAG, agents, evaluation, deployment, and portfolio projects for real ...
A new ransomware strain scans specifically for AI model weights, and it has no way to collect a ransom, leaving victims ...
With this acquisition, Nscale adds Anyscale's software layer, which turns raw compute into an end-to-end AI platform that expands Nscale's customer baseLONDON and SAN FRANCISCO, July 30, 2026 ...
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Can AI help win football matches? Arsenal is hiring an engineer to plan wins. Here's how to apply
The vacancy is another sign of AI's expanding role in elite sport. Modern football clubs collect enormous volumes of data from tracking systems, video feeds, player movement, event logs and ...
Tom Fenton tackles seven free and open-source AI tools bring local chat, coding, voice, design and research capabilities to personal computers and self-hosted environments.
An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, modify, integrate, and commercialize the model weights.
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