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Tag: model utilization

  • Cloud Blog: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/evaluate-ai-models-with-vertex-ai–llm-comparator/ Source: Cloud Blog Title: Evaluate gen AI models with Vertex AI evaluation service and LLM comparator Feedly Summary: It’s a persistent question: How do you know which generative AI model is the best choice for your needs? It all comes down to smart evaluation. In this post, we’ll share how to perform…

  • Cloud Blog: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI

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    by

    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/anthropics-claude-3-7-sonnet-is-available-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude 3.7 Sonnet, Anthropic’s first hybrid reasoning model, is available on Vertex AI Feedly Summary: Today, we’re announcing Claude 3.7 Sonnet, Anthropic’s most intelligent model to date and the first hybrid reasoning model on the market, is available in preview on Vertex AI Model Garden. Claude 3.7…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
    in

    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: Full LLM training and evaluation toolkit

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    system automation
    in

    Source URL: https://github.com/huggingface/smollm Source: Hacker News Title: Full LLM training and evaluation toolkit Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces SmolLM2, a family of compact language models with varying parameters designed for lightweight, on-device applications, and details on how they can be utilized in different scenarios. Such advancements in AI…