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As the development of AI advances more tools are being offered to developers such as assistants and AI agents. Agents are more autonomous relative to AI assistants like chatGPT or Claude. Assistants are great for answering queries while agents operate

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Github: https://github.com/nomadic-ml/nomadic Demo: Colab notebook – Quickly get the best-performing, statsig configurations for your RAG and reduce hallucinations by 4X with one experiment. Note: Works best with Colab Pro (high-RAM instance) or running locally. Curious to hear any of your

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Researchers have developed a robotic leg with artificial muscles. Inspired by living creatures, it jumps across different terrains in an agile and energy-efficient manner.

From Business Insider’s article: It’s unclear whether Colossus runs 100,000 GPUs at the same time, which would require sophisticated networking technology and a lot of energy. “Musk previously said the 100,000-chip cluster was up and running in late June,” The

GraphRAG uses large language models (LLMs) to create a comprehensive knowledge graph that details entities and their relationships from any collection of text documents. This graph enables GraphRAG to leverage the semantic structure of the data and generate responses to

Companies in broadcast, sports and streaming are transitioning to software-defined infrastructure to benefit from flexible deployment and to more easily adopt the latest AI technologies. NVIDIA Holoscan for Media, now in limited availability, is an AI-enabled, software-defined platform that allows

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Nvidia-Backed Sakana AI Eyes Strategic Partnerships in Japan.[1] AI Security Center Keeps DOD at Cusp of Rapidly Emerging Technology.[2] South Korea summit to target ‘blueprint’ for using AI in the military.[3] Report: DOJ Begins Probe Into Nvidia Contracts and Partnerships.[4]