New (2nd edition) from @PacktDataML available at http://
amzn.to/4tULP1b RAG-Driven Generative AI โ Build MAS-RAG with DualRAG, GraphRAG, multimodal video pipelines, and Oracle Database 23ai ๐๐ฒ๐ ๐๐ฒ๐ฎ๐๐๐ฟ๐ฒ๐:
Master DualRAG by combining vector search with SQL filtering
MACHINE LEARNING
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RAG-Driven Generative AI 2nd Edition: Build MAS-RAG with DualRAG
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LLM Engineer’s Handbook: Master LLM engineering from concept to production
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LLM Engineer's Handbook โ Master the art of engineering Large Language Models LLMs from concept to production: http://
amzn.to/4dUQrv6 v/ @PacktDataML Implement robust data pipelines and manage LLM training cycles Create your own LLM and refine with the help of hands-on -
@ornith_ model matches or beats Claude Opus 4.8
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HOLY SH*T this @ornith_ model is matching or even beating Claude Opus 4.8 I definitely need to move this up my priority list for a deep dive
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Model @ornith_ matches or beats Claude Opus 4.8 performance
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HOLY SH*T this @ornith_ model is matching or even beating Claude Opus 4.8 I definitely need to move this up my priority list for a deep dive
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NVIDIA and Zaha Hadid Architects Build Custom AI Tools for Secure Design
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AI is most impactful when it's tailored to the way teams already work. Discover how Zaha Hadid Architects uses local compute, fine-tuned AI models, and NVIDIA technologies to build custom AI tools that accelerate design while keeping proprietary data secure.
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Slime: Open source RL framework behind GLM-5.2 post-training
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The RL framework behind GLM-5.2 is fully open source. The full post-training of GLM-5.2 ran on it in about two days. The same stack sits behind the entire GLM series, from 4.5 to 5.1. It is called slime, and it is built around one idea. Keep a single RL kernel, and push all the
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Yannick’s depth of work underfollowed in Local AI space
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Yannick is criminally underfollowed in the Local AI space for the depth of his work
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Offline voice assistant on tiny Axelera AI Mini PC
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A full voice assistant, running with no internet connection at all, on a tiny, self-contained device you can put anywhere. This is the new Axelera AI Mini PC running Llama 3.2 1B as the language model, with separate speech-to-text and text-to-speech models alongside it, all onโฆ pic.twitter.com/MUXkSdlJ7P
— Axelera AI (@AxeleraAI) 26 juin 2026A full voice assistant, running with no internet connection at all, on a tiny, self-contained device you can put anywhere. This is the new Axelera AI Mini PC running Llama 3.2 1B as the language model, with separate speech-to-text and text-to-speech models alongside it, all on
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OpenAI CRO argues pre-training is not dead with new insights
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Is pre-training dead?@OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always found some kind of technique whether it be better engineering or some new research insight that helps you break past the boundary." https://t.co/SmIypV0ZS0 pic.twitter.com/dOynElmth9
— Latent.Space (@latentspacepod) 26 juin 2026Is pre-training dead? @OpenAI Chief Research Officer @markchen90 doesn't think so: "We've always found some kind of technique whether it be better engineering or some new research insight that helps you break past the boundary."
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GPT 5.6 delay extends beyond Anthropic
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nb OpenAI GPT 5.6 has also been delayed; itโs not just about Anthropic, anymore.