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Tag: open-source models

  • Cloud Blog: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/products/data-analytics/why-use-dataproc-for-your-apache-spark-environment/ Source: Cloud Blog Title: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI Feedly Summary: With its exceptional price-performance, Google Cloud’s Dataproc has evolved from a simple, managed open-source software (OSS) service to a powerhouse in Apache Spark and open lakehouses, driving the analytics and AI workloads of…

  • The Register: MiniMax M1 model claims Chinese LLM crown from DeepSeek – plus it’s true open-source

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/06/17/minimax_m1_model_chinese_llm/ Source: The Register Title: MiniMax M1 model claims Chinese LLM crown from DeepSeek – plus it’s true open-source Feedly Summary: China’s ‘little dragons’ pose big challenge to US AI firms MiniMax, an AI firm based in Shanghai, has released an open-source reasoning model that challenges Chinese rival DeepSeek and US-based Anthropic, OpenAI,…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…

  • Simon Willison’s Weblog: Devstral

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/May/21/devstral/#atom-everything Source: Simon Willison’s Weblog Title: Devstral Feedly Summary: Devstral New Apache 2.0 licensed LLM release from Mistral, this time specifically trained for code. Devstral achieves a score of 46.8% on SWE-Bench Verified, outperforming prior open-source SoTA models by more than 6% points. When evaluated under the same test scaffold (OpenHands, provided by…

  • 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…

  • The Register: The future of LLMs is open source, Salesforce’s Benioff says

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/05/14/future_of_llms_is_open/ Source: The Register Title: The future of LLMs is open source, Salesforce’s Benioff says Feedly Summary: Cheaper, open source LLMs will commoditize the market at expense of their bloated counterparts The future of large language models is likely to be open source, according to Marc Benioff, co-founder and longstanding CEO of Salesforce.……

  • Simon Willison’s Weblog: Medium is the new large

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/May/7/medium-is-the-new-large/#atom-everything Source: Simon Willison’s Weblog Title: Medium is the new large Feedly Summary: Medium is the new large New model release from Mistral – this time closed source/proprietary. Mistral Medium claims strong benchmark scores similar to GPT-4o and Claude 3.7 Sonnet, but is priced at $0.40/million input and $2/million output – about the…

  • Slashdot: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’

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    Kurt Seifried
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    Source URL: https://developers.slashdot.org/story/25/04/29/1837239/ai-generated-code-creates-major-security-risk-through-package-hallucinations?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AI-Generated Code Creates Major Security Risk Through ‘Package Hallucinations’ Feedly Summary: AI Summary and Description: Yes Summary: The study highlights a critical vulnerability in AI-generated code, where a significant percentage of generated packages reference non-existent libraries, posing substantial risks for supply-chain attacks. This phenomenon is more prevalent in open…

  • Cloud Blog: What’s new with BigQuery AI and ML?

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/data-analytics/bigquery-adds-new-ai-capabilities/ Source: Cloud Blog Title: What’s new with BigQuery AI and ML? Feedly Summary: At Next ’25, we introduced several new innovations within BigQuery, the autonomous data to AI platform. BigQuery ML provides a full range of AI and ML capabilities, enabling you to easily build generative AI and predictive ML applications with…