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Tag: llms

  • Cloud Blog: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned

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    Source URL: https://cloud.google.com/blog/products/identity-security/we-tested-intels-amx-cpu-accelerator-for-ai-heres-what-we-learned/ Source: Cloud Blog Title: We tested Intel’s AMX CPU accelerator for AI. Here’s what we learned Feedly Summary: At Google Cloud, we believe that cloud computing will increasingly shift to private, encrypted services where users can be confident that their software and data are not being exposed to unauthorized actors. In support…

  • Simon Willison’s Weblog: Everything I built with Claude Artifacts this week

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    Source URL: https://simonwillison.net/2024/Oct/21/claude-artifacts/#atom-everything Source: Simon Willison’s Weblog Title: Everything I built with Claude Artifacts this week Feedly Summary: I’m a huge fan of Claude’s Artifacts feature, which lets you prompt Claude to create an interactive Single Page App (using HTML, CSS and JavaScript) and then view the result directly in the Claude interface, iterating on…

  • Hacker News: VPTQ: Extreme low-bit Quantization for real LLMs

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    Source URL: https://github.com/microsoft/VPTQ Source: Hacker News Title: VPTQ: Extreme low-bit Quantization for real LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses a novel technique called Vector Post-Training Quantization (VPTQ) designed for compressing Large Language Models (LLMs) to extremely low bit-widths (under 2 bits) without compromising accuracy. This innovative method can…

  • Hacker News: Intuit asked us to delete part of this Decoder episode

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    Source URL: https://www.theverge.com/2024/10/21/24273820/intuit-ceo-sasan-goodarzi-turbotax-irs-quickbooks-ai-software-decoder-interview Source: Hacker News Title: Intuit asked us to delete part of this Decoder episode Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text features an interview with Intuit CEO Sasan Goodarzi, discussing the company’s transition into a platform-centric business, the integration of various acquired technologies, and their strategic focus on…

  • Docker: Using Docker AI Tools for Devs to Provide Context for Better Code Fixes

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    Source URL: https://www.docker.com/blog/using-docker-ai-tools-for-devs-to-provide-context-for-better-code-fixes/ Source: Docker Title: Using Docker AI Tools for Devs to Provide Context for Better Code Fixes Feedly Summary: Learn how to map your codebase in order to provide context for creating better AI-generated code fixes. AI Summary and Description: Yes **Summary:** The text discusses Docker’s exploration of integrating AI developer tools into…

  • Hacker News: IBM Granite 3.0: open enterprise models

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    Source URL: https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models Source: Hacker News Title: IBM Granite 3.0: open enterprise models Feedly Summary: Comments AI Summary and Description: Yes Summary: IBM has launched Granite 3.0, an advanced series of large language models (LLMs) developed for enterprise applications, emphasizing safety, cost-efficiency, and performance. The open-source models and detailed training disclosures mark a significant commitment…

  • Docker: Announcing IBM Granite AI Models Now Available on Docker Hub

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    Source URL: https://www.docker.com/blog/announcing-ibm-granite-ai-models-now-available-on-docker-hub/ Source: Docker Title: Announcing IBM Granite AI Models Now Available on Docker Hub Feedly Summary: IBM’s Granite AI models, optimized for business applications, are now available on Docker Hub, making it easier for developers to deploy, scale, and customize AI-powered apps. AI Summary and Description: Yes Summary: The announcement regarding IBM’s Granite…

  • Simon Willison’s Weblog: The 3 AI Use Cases: Gods, Interns, and Cogs

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    Source URL: https://simonwillison.net/2024/Oct/20/gods-interns-and-cogs/#atom-everything Source: Simon Willison’s Weblog Title: The 3 AI Use Cases: Gods, Interns, and Cogs Feedly Summary: The 3 AI Use Cases: Gods, Interns, and Cogs Drew Breunig introduces an interesting new framework for categorizing use cases of modern AI: Gods refers to the autonomous, AGI stuff that’s still effectively science fiction. Interns…

  • Simon Willison’s Weblog: Quoting Jens Ohlig

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    Source URL: https://simonwillison.net/2024/Oct/20/jens-ohlig/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jens Ohlig Feedly Summary: Who called it “intellectual property problems around the acquisition of training data for Large Language Models” and not Grand Theft Autocomplete? — Jens Ohlig, on March 8th 2024 Tags: training-data, llms, ai, generative-ai AI Summary and Description: Yes Summary: The text highlights…

  • The Register: Open source LLM tool primed to sniff out Python zero-days

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    Source URL: https://www.theregister.com/2024/10/20/python_zero_day_tool/ Source: The Register Title: Open source LLM tool primed to sniff out Python zero-days Feedly Summary: The static analyzer uses Claude AI to identify vulns and suggest exploit code Researchers with Seattle-based Protect AI plan to release a free, open source tool that can find zero-day vulnerabilities in Python codebases with the…