logprobs – Experimental News Clipping Site

Cloud Blog: Build with more flexibility: New open models arrive in the Vertex AI Model Garden

Jul 16, 2025

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Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deepseek-r1-is-available-for-everyone-in-vertex-ai-model-garden/ Source: Cloud Blog Title: Build with more flexibility: New open models arrive in the Vertex AI Model Garden Feedly Summary: In our ongoing effort to provide businesses with the flexibility and choice needed to build innovative AI applications, we are expanding the catalog of open models available as Model-as-a-Service (MaaS) offerings in…

Simon Willison’s Weblog: Using pip to install a Large Language Model that’s under 100MB

Feb 7, 2025

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Kurt Seifried

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Source URL: https://simonwillison.net/2025/Feb/7/pip-install-llm-smollm2/ Source: Simon Willison’s Weblog Title: Using pip to install a Large Language Model that’s under 100MB Feedly Summary: I just released llm-smollm2, a new plugin for LLM that bundles a quantized copy of the SmolLM2-135M-Instruct LLM inside of the Python package. This means you can now pip install a full LLM! If…

Hacker News: Show HN: Value likelihoods for OpenAI structured output

Jan 14, 2025

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Kurt Seifried

in Uncategorized

Source URL: https://arena-ai.github.io/structured-logprobs/ Source: Hacker News Title: Show HN: Value likelihoods for OpenAI structured output Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the open-source Python library “structured-logprobs,” which enhances the understanding and reliability of outputs from OpenAI’s Language Learning Models (LLM) by providing detailed log probability information. This offers valuable…

Tag: logprobs

Cloud Blog: Build with more flexibility: New open models arrive in the Vertex AI Model Garden

Simon Willison’s Weblog: Using pip to install a Large Language Model that’s under 100MB

Hacker News: Show HN: Value likelihoods for OpenAI structured output