Tag: llama
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Slashdot: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book
Source URL: https://slashdot.org/story/25/06/15/2230206/metas-llama-31-can-recall-42-of-the-first-harry-potter-book?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta’s Llama 3.1 Can Recall 42% of the First Harry Potter Book Feedly Summary: AI Summary and Description: Yes Summary: The text discusses significant findings from a research study that highlights the memorization capabilities of Llama 3.1 70B, an AI model from Meta. It raises concerns about potential legal…
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Slashdot: Site for ‘Accelerating’ AI Use Across the US Government Accidentally Leaked on GitHub
Source URL: https://news.slashdot.org/story/25/06/15/0323209/site-for-accelerating-ai-use-across-the-us-government-accidentally-leaked-on-github?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Site for ‘Accelerating’ AI Use Across the US Government Accidentally Leaked on GitHub Feedly Summary: AI Summary and Description: Yes Summary: The U.S. federal government is developing the AI.gov website and API to enhance government operations with artificial intelligence, aiming to deploy AI tools across agencies. This initiative reflects…
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Slashdot: Meta Invests $14.3 Billion in Scale AI
Source URL: https://tech.slashdot.org/story/25/06/13/0146238/meta-invests-143-billion-in-scale-ai?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Meta Invests $14.3 Billion in Scale AI Feedly Summary: AI Summary and Description: Yes Summary: Meta’s substantial $14.3 billion investment in Scale AI, along with the recruitment of its CEO, signifies a strategic initiative to enhance their AI capabilities, aiming specifically for advancements towards artificial general intelligence. This move…
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Docker: Publishing AI models to Docker Hub
Source URL: https://www.docker.com/blog/publish-ai-models-on-docker-hub/ Source: Docker Title: Publishing AI models to Docker Hub Feedly Summary: When we first released Docker Model Runner, it came with built-in support for running AI models published and maintained by Docker on Docker Hub. This made it simple to pull a model like llama3.2 or gemma3 and start using it locally…
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Slashdot: Apple’s Upgraded AI Models Underwhelm On Performance
Source URL: https://apple.slashdot.org/story/25/06/10/1646256/apples-upgraded-ai-models-underwhelm-on-performance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple’s Upgraded AI Models Underwhelm On Performance Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the performance of Apple’s recent AI models in comparison to competitors, revealing that they lag behind those from Google, Alibaba, OpenAI, and Meta. This assessment has implications for the company’s position…
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Simon Willison’s Weblog: Magistral — the first reasoning model by Mistral AI
Source URL: https://simonwillison.net/2025/Jun/10/magistral/ Source: Simon Willison’s Weblog Title: Magistral — the first reasoning model by Mistral AI Feedly Summary: Magistral — the first reasoning model by Mistral AI Mistral’s first reasoning model is out today, in two sizes. There’s a 24B Apache 2 licensed open-weights model called Magistral Small (actually Magistral-Small-2506), and a larger API-only…
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Simon Willison’s Weblog: The last year six months in LLMs, illustrated by pelicans on bicycles
Source URL: https://simonwillison.net/2025/Jun/6/six-months-in-llms/#atom-everything Source: Simon Willison’s Weblog Title: The last year six months in LLMs, illustrated by pelicans on bicycles Feedly Summary: I presented an invited keynote at the AI Engineer World’s Fair in San Francisco this week. This is my third time speaking at the event – here’s my talks from October 2023 and…
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Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes
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…
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Cloud Blog: Building a Production Multimodal Fine-Tuning Pipeline
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/building-a-production-multimodal-fine-tuning-pipeline/ Source: Cloud Blog Title: Building a Production Multimodal Fine-Tuning Pipeline Feedly Summary: Looking to fine-tune multimodal AI models for your specific domain but facing infrastructure and implementation challenges? This guide demonstrates how to overcome the multimodal implementation gap using Google Cloud and Axolotl, with a complete hands-on example fine-tuning Gemma 3 on…
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Simon Willison’s Weblog: Shisa V2 405B: Japan’s Highest Performing LLM
Source URL: https://simonwillison.net/2025/Jun/3/shisa-v2/ Source: Simon Willison’s Weblog Title: Shisa V2 405B: Japan’s Highest Performing LLM Feedly Summary: Shisa V2 405B: Japan’s Highest Performing LLM Leonard Lin and Adam Lensenmayer have been working on Shisa for a while. They describe their latest release as “Japan’s Highest Performing LLM". Shisa V2 405B is the highest-performing LLM ever…