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Tag: model performance

  • Docker: IBM Granite 4.0 Models Now Available on Docker Hub

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/ibm-granite-4-0-models-now-available-on-docker-hub/ Source: Docker Title: IBM Granite 4.0 Models Now Available on Docker Hub Feedly Summary: Developers can now discover and run IBM’s latest open-source Granite 4.0 language models from the Docker Hub model catalog, and start building in minutes with Docker Model Runner. Granite 4.0 pairs strong, enterprise-ready performance with a lightweight footprint,…

  • Simon Willison’s Weblog: Two more Chinese pelicans

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Oct/1/two-pelicans/#atom-everything Source: Simon Willison’s Weblog Title: Two more Chinese pelicans Feedly Summary: Two new models from Chinese AI labs in the past few days. I tried them both out using llm-openrouter: DeepSeek-V3.2-Exp from DeepSeek. Announcement, Tech Report, Hugging Face (690GB, MIT license). As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon…

  • Cloud Blog: Announcing Claude Sonnet 4.5 on Vertex AI

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-claude-sonnet-4-5-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude Sonnet 4.5 on Vertex AI Feedly Summary: Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI.Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity…

  • Slashdot: Mistral’s New Plan for Improving Its AI Models: Training Data from Enterprises

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/09/27/1640203/mistrals-new-plan-for-improving-its-ai-models-training-data-from-enterprises?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mistral’s New Plan for Improving Its AI Models: Training Data from Enterprises Feedly Summary: AI Summary and Description: Yes Summary: The text discusses Mistral, a Paris-based AI company, that focuses on enhancing AI models through partnerships with enterprises, leveraging their proprietary data for post-training. This approach addresses the challenges…

  • OpenAI : Measuring the performance of our models on real-world tasks

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    Kurt Seifried
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    Source URL: https://openai.com/index/gdpval Source: OpenAI Title: Measuring the performance of our models on real-world tasks Feedly Summary: OpenAI introduces GDPval-v0, a new evaluation that measures model performance on real-world economically valuable tasks across 44 occupations. AI Summary and Description: Yes Summary: OpenAI’s introduction of GDPval-v0 represents a significant advancement in evaluating AI model performance, particularly…

  • The Register: DARPA amps up effort to make AI power-conscious

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/09/25/dapra_ai_power_conscious/ Source: The Register Title: DARPA amps up effort to make AI power-conscious Feedly Summary: New research program seeks ‘energy-aware’ ML that balances performance with power draw It’s notoriously difficult to consistently measure the energy usage of AI models, but DARPA wants to put an end to that uncertainty with new “energy-aware" machine…

  • Docker: Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/evaluate-models-and-mcp-with-promptfoo-docker/ Source: Docker Title: Run, Test, and Evaluate Models and MCP Locally with Docker + Promptfoo Feedly Summary: Promptfoo is an open-source CLI and library for evaluating LLM apps. Docker Model Runner makes it easy to manage, run, and deploy AI models using Docker. The Docker MCP Toolkit is a local gateway that…

  • Cloud Blog: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/customers/escalante-uses-jax-on-tpus-for-ai-driven-protein-design/ Source: Cloud Blog Title: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design Feedly Summary: As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function…

  • Simon Willison’s Weblog: Anthropic: A postmortem of three recent issues

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Sep/17/anthropic-postmortem/ Source: Simon Willison’s Weblog Title: Anthropic: A postmortem of three recent issues Feedly Summary: Anthropic: A postmortem of three recent issues Anthropic had a very bad month in terms of model reliability: Between August and early September, three infrastructure bugs intermittently degraded Claude’s response quality. We’ve now resolved these issues and want…

  • Slashdot: Google Releases VaultGemma, Its First Privacy-Preserving LLM

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    Kurt Seifried
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    Source URL: https://yro.slashdot.org/story/25/09/16/000202/google-releases-vaultgemma-its-first-privacy-preserving-llm?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Releases VaultGemma, Its First Privacy-Preserving LLM Feedly Summary: AI Summary and Description: Yes Summary: The text discusses recent advancements in LLMs, particularly surrounding the integration of differential privacy to mitigate the risk of memorization of sensitive training data. It highlights the balance between privacy and model performance, introducing…