Tag: source models
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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.……
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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…
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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…
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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…