Tag: llama
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The Register: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank
Source URL: https://www.theregister.com/2025/04/08/meta_llama4_cheating/ Source: The Register Title: Meta accused of Llama 4 bait-and-switch to juice AI benchmark rank Feedly Summary: Did Facebook giant rizz up LLM to win over human voters? It appears so Meta submitted a specially crafted, non-public variant of its Llama 4 AI model to an online benchmark that may have unfairly…
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Slashdot: Meta Got Caught Gaming AI Benchmarks
Source URL: https://tech.slashdot.org/story/25/04/08/133257/meta-got-caught-gaming-ai-benchmarks?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Got Caught Gaming AI Benchmarks Feedly Summary: AI Summary and Description: Yes Summary: Meta’s release of the Llama 4 models, Scout and Maverick, has stirred the competitive landscape of AI. Maverick’s claims of superiority over established models like GPT-4o and Gemini 2.0 Flash raise questions about evaluation fairness,…
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Simon Willison’s Weblog: Quoting lmarena.ai
Source URL: https://simonwillison.net/2025/Apr/8/lmaren/#atom-everything Source: Simon Willison’s Weblog Title: Quoting lmarena.ai Feedly Summary: We’ve seen questions from the community about the latest release of Llama-4 on Arena. To ensure full transparency, we’re releasing 2,000+ head-to-head battle results for public review. […] In addition, we’re also adding the HF version of Llama-4-Maverick to Arena, with leaderboard results…
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Simon Willison’s Weblog: Long context support in LLM 0.24 using fragments and template plugins
Source URL: https://simonwillison.net/2025/Apr/7/long-context-llm/#atom-everything Source: Simon Willison’s Weblog Title: Long context support in LLM 0.24 using fragments and template plugins Feedly Summary: LLM 0.24 is now available with new features to help take advantage of the increasingly long input context supported by modern LLMs. (LLM is my command-line tool and Python library for interacting with LLMs,…
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Simon Willison’s Weblog: Quoting Andriy Burkov
Source URL: https://simonwillison.net/2025/Apr/6/andriy-burkov/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Andriy Burkov Feedly Summary: […] The disappointing releases of both GPT-4.5 and Llama 4 have shown that if you don’t train a model to reason with reinforcement learning, increasing its size no longer provides benefits. Reinforcement learning is limited only to domains where a reward can…
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Slashdot: In ‘Milestone’ for Open Source, Meta Releases New Benchmark-Beating Llama 4 Models
Source URL: https://news.slashdot.org/story/25/04/06/182233/in-milestone-for-open-source-meta-releases-new-benchmark-beating-llama-4-models?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: In ‘Milestone’ for Open Source, Meta Releases New Benchmark-Beating Llama 4 Models Feedly Summary: AI Summary and Description: Yes Summary: Mark Zuckerberg recently announced the launch of four new Llama Large Language Models (LLMs) that reinforce Meta’s commitment to open source AI. These models, particularly Llama 4 Scout and…
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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…
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Simon Willison’s Weblog: Note on 5th April 2025
Source URL: https://simonwillison.net/2025/Apr/5/llama-4-notes/#atom-everything Source: Simon Willison’s Weblog Title: Note on 5th April 2025 Feedly Summary: Dropping a model release as significant as Llama 4 on a weekend is plain unfair! So far the best place to learn about the new model family is this post on the Meta AI blog. You can try them out…
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Simon Willison’s Weblog: Quoting Ahmed Al-Dahle
Source URL: https://simonwillison.net/2025/Apr/5/llama-4/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Ahmed Al-Dahle Feedly Summary: The Llama series have been re-designed to use state of the art mixture-of-experts (MoE) architecture and natively trained with multimodality. We’re dropping Llama 4 Scout & Llama 4 Maverick, and previewing Llama 4 Behemoth. 📌 Llama 4 Scout is highest performing small…
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Docker: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner
Source URL: https://www.docker.com/blog/run-llms-locally/ Source: Docker Title: Run LLMs Locally with Docker: A Quickstart Guide to Model Runner Feedly Summary: AI is quickly becoming a core part of modern applications, but running large language models (LLMs) locally can still be a pain. Between picking the right model, navigating hardware quirks, and optimizing for performance, it’s easy…