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Tag: model selection

  • Cloud Blog: Building on the bananas momentum of generative media models on Google Cloud

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/building-momentum-for-gen-media-including-nano-banana-/ Source: Cloud Blog Title: Building on the bananas momentum of generative media models on Google Cloud Feedly Summary: It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash Image, go viral. And with transformative workflows like these, it is easy to see…

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    Kurt Seifried
    in

    Source URL: https://nextword.substack.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes **Summary:** The text discusses the significant implications of OpenAI’s recent transition to GPT-5, including the retirement of previous models and the introduction of a model router, which will streamline…

  • Docker: GenAI vs. Agentic AI: What Developers Need to Know

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    Kurt Seifried
    in

    Source URL: https://www.docker.com/blog/genai-vs-agentic-ai/ Source: Docker Title: GenAI vs. Agentic AI: What Developers Need to Know Feedly Summary: Generative AI (GenAI) and the models behind it have already reshaped how developers write code and build applications. But a new class of artificial intelligence is emerging: agentic AI. Unlike GenAI, which focuses on content generation, agentic systems…

  • Simon Willison’s Weblog: Qwen/Qwen3-30B-A3B-Instruct-2507

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Jul/29/qwen3-30b-a3b-instruct-2507/ Source: Simon Willison’s Weblog Title: Qwen/Qwen3-30B-A3B-Instruct-2507 Feedly Summary: Qwen/Qwen3-30B-A3B-Instruct-2507 New model update from Qwen, improving on their previous Qwen3-30B-A3B release from late April. In their tweet they said: Smarter, faster, and local deployment-friendly. ✨ Key Enhancements: ✅ Enhanced reasoning, coding, and math skills ✅ Broader multilingual knowledge ✅ Improved long-context understanding (up…

  • Cloud Blog: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/take-an-open-model-from-discovery-to-endpoint-on-vertex-ai/ Source: Cloud Blog Title: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI Feedly Summary: Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling…

  • Cloud Blog: 25+ top gen AI how-to guides for enterprise

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/top-gen-ai-how-to-guides-for-enterprise/ Source: Cloud Blog Title: 25+ top gen AI how-to guides for enterprise Feedly Summary: The best way to learn AI is by building. From finding quick ways to deploy open models to building complex, multi-agentic systems, it’s easy to feel overwhelmed by the sheer volume of resources out there.  To that end,…

  • Docker: Tool Calling with Local LLMs: A Practical Evaluation

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    Kurt Seifried
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    Source URL: https://www.docker.com/blog/local-llm-tool-calling-a-practical-evaluation/ Source: Docker Title: Tool Calling with Local LLMs: A Practical Evaluation Feedly Summary: Which local model should I use for tool calling? When building GenAI and agentic applications, one of the most pressing and persistent questions is: “Which local model should I use for tool calling?”  We kept hearing again and again,…

  • Hamel’s Blog: LLM Eval FAQ

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    Kurt Seifried
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    Source URL: https://hamel.dev/blog/posts/evals-faq/ Source: Hamel’s Blog Title: LLM Eval FAQ Feedly Summary: Our Course On AI Evals I’m teaching a course on AI Evals with Shreya Shankar. Here are some of the most common questions we’ve been asked. We’ll be updating this list frequently. Q: Is RAG dead? Question: Should I avoid using RAG for…

  • CSA: Open vs. Closed-Source AI Guide

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    Kurt Seifried
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    Source URL: https://koat.ai/open-source-models-vs-closed-source-models-a-simple-guide/ Source: CSA Title: Open vs. Closed-Source AI Guide Feedly Summary: AI Summary and Description: Yes Summary: The text provides a comprehensive analysis of the differences between open-source and closed-source AI models, highlighting their implications for data privacy, customization, costs, support, and security needs. This is particularly relevant for security and compliance professionals…