Tag: source models

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

    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

    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’

    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?

    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…

  • Simon Willison’s Weblog: Maybe Meta’s Llama claims to be open source because of the EU AI act

    Source URL: https://simonwillison.net/2025/Apr/19/llama-eu-ai-act/#atom-everything Source: Simon Willison’s Weblog Title: Maybe Meta’s Llama claims to be open source because of the EU AI act Feedly Summary: I encountered a theory a while ago that one of the reasons Meta insist on using the term “open source” for their Llama models despite the Llama license not actually conforming…

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…

  • The Cloudflare Blog: Meta’s Llama 4 is now available on Workers AI

    Source URL: https://blog.cloudflare.com/meta-llama-4-is-now-available-on-workers-ai/ Source: The Cloudflare Blog Title: Meta’s Llama 4 is now available on Workers AI Feedly Summary: Llama 4 Scout 17B Instruct is now available on Workers AI: use this multimodal, Mixture of Experts AI model on Cloudflare’s serverless AI platform to build next-gen AI applications. AI Summary and Description: Yes Summary: The…

  • Hacker News: Tao: Using test-time compute to train efficient LLMs without labeled data

    Source URL: https://www.databricks.com/blog/tao-using-test-time-compute-train-efficient-llms-without-labeled-data Source: Hacker News Title: Tao: Using test-time compute to train efficient LLMs without labeled data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a new model tuning method for large language models (LLMs) called Test-time Adaptive Optimization (TAO) that enhances model quality without requiring large amounts of labeled…