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Hey everyone, I wanted to share an exciting opportunity for anyone interested in AI, data analytics, and database management. We’re hosting a free webinar on September 5th, 2024, focused on how to leverage open-source large language models (LLMs) to build

There was concern that mandating having a kill switch would kill open source. Because if it’s open source, it can’t have a kill switch. I’m glad they’ve added the exemption so we can get the benefits of open source while

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Anthropic publishes the ‘system prompts’ that make Claude tick.[1] AWS Enhancing Information Retrieval in Large Language Models: A Data-Centric Approach Using Metadata, Synthetic QAs, and Meta Knowledge Summaries for Improved Accuracy and Relevancy.[2] Viral video shows humanoid robots at Beijing

I recently went on the hunt for a voice only AI to help me with research and came across the app, Kindroid. I was amazed at the realistic dialog these characters could create, but what really blew my mind was

Nations around the world are pursuing sovereign AI to produce artificial intelligence using their own computing infrastructure, data, workforce and business networks to ensure AI systems align with local values, laws and interests. In support of these efforts, NVIDIA today

I’ve been finding that using the various LLMs out there, and building RAG solutions, that it is a matter of time until there are tools that enable an average person to consume much more information, work towards new research strategies,

News summary: New libraries in accelerated computing deliver order-of-magnitude speedups and reduce energy consumption and costs in data processing, generative AI, recommender systems, AI data curation, data processing, 6G research, AI-physics and more. They include: LLM applications: NeMo Curator, to

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