Tag: large language model

  • Cloud Blog: Announcing Mistral AI’s Large-Instruct-2411 and Codestral-2411 on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-mistral-ais-large-instruct-2411-and-codestral-2411-on-vertex-ai/ Source: Cloud Blog Title: Announcing Mistral AI’s Large-Instruct-2411 and Codestral-2411 on Vertex AI Feedly Summary: In July, we announced the availability of Mistral AI’s models on Vertex AI: Codestral for code generation tasks, Mistral Large 2 for high-complexity tasks, and the lightweight Mistral Nemo for reasoning tasks like creative writing. Today, we’re…

  • Hacker News: From ClickOps to GitOps: The Evolution of AI App Development

    Source URL: https://blog.helix.ml/p/from-clickops-to-gitops-the-evolution Source: Hacker News Title: From ClickOps to GitOps: The Evolution of AI App Development Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the evolving landscape of AI engineering, emphasizing the transition from rapid prototyping to production-ready AI applications. It highlights the growing acceptance of GPTs in business solutions…

  • Simon Willison’s Weblog: llm-gguf 0.2, now with embeddings

    Source URL: https://simonwillison.net/2024/Nov/21/llm-gguf-embeddings/#atom-everything Source: Simon Willison’s Weblog Title: llm-gguf 0.2, now with embeddings Feedly Summary: llm-gguf 0.2, now with embeddings This new release of my llm-gguf plugin – which adds support for locally hosted GGUF LLMs – adds a new feature: it now supports embedding models distributed as GGUFs as well. This means you can…

  • Simon Willison’s Weblog: TextSynth Server

    Source URL: https://simonwillison.net/2024/Nov/21/textsynth-server/ Source: Simon Willison’s Weblog Title: TextSynth Server Feedly Summary: TextSynth Server I’d missed this: Fabrice Bellard (yes, that Fabrice Bellard) has a project called TextSynth Server which he describes like this: ts_server is a web server proposing a REST API to large language models. They can be used for example for text…

  • Simon Willison’s Weblog: Quoting Steven Johnson

    Source URL: https://simonwillison.net/2024/Nov/21/steven-johnson/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Steven Johnson Feedly Summary: When we started working on what became NotebookLM in the summer of 2022, we could fit about 1,500 words in the context window. Now we can fit up to 1.5 million words. (And using various other tricks, effectively fit 25 million words.)…

  • Hacker News: Niantic announces "Large Geospatial Model" trained on Pokémon Go player data

    Source URL: https://nianticlabs.com/news/largegeospatialmodel/ Source: Hacker News Title: Niantic announces "Large Geospatial Model" trained on Pokémon Go player data Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of a Large Geospatial Model (LGM) by Niantic, which aims to enhance spatial intelligence through machine learning. It highlights the challenges faced by…

  • Slashdot: DeepSeek’s First Reasoning Model R1-Lite-Preview Beats OpenAI o1 Performance

    Source URL: https://slashdot.org/story/24/11/20/2129207/deepseeks-first-reasoning-model-r1-lite-preview-beats-openai-o1-performance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: DeepSeek’s First Reasoning Model R1-Lite-Preview Beats OpenAI o1 Performance Feedly Summary: AI Summary and Description: Yes Summary: DeepSeek, a Chinese AI offshoot, has released a new reasoning-focused large language model, the R1-Lite-Preview, via its AI chatbot. This model demonstrates advanced reasoning capabilities and transparency in its processing, drawing attention…

  • Google Online Security Blog: Leveling Up Fuzzing: Finding more vulnerabilities with AI

    Source URL: http://security.googleblog.com/2024/11/leveling-up-fuzzing-finding-more.html Source: Google Online Security Blog Title: Leveling Up Fuzzing: Finding more vulnerabilities with AI Feedly Summary: AI Summary and Description: Yes **Summary:** The text discusses significant advancements in automated vulnerability discovery utilizing AI, specifically highlighting the OSS-Fuzz project’s recent successes with AI-powered fuzzing, which led to the identification of critical vulnerabilities, including…

  • The Register: Google’s AI bug hunters sniff out two dozen-plus code gremlins that humans missed

    Source URL: https://www.theregister.com/2024/11/20/google_ossfuzz/ Source: The Register Title: Google’s AI bug hunters sniff out two dozen-plus code gremlins that humans missed Feedly Summary: OSS-Fuzz is making a strong argument for LLMs in security research Google’s OSS-Fuzz project, which uses large language models (LLMs) to help find bugs in code repositories, has now helped identify 26 vulnerabilities,…

  • Hacker News: 1-Bit AI Infrastructure

    Source URL: https://arxiv.org/abs/2410.16144 Source: Hacker News Title: 1-Bit AI Infrastructure Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in 1-bit Large Language Models (LLMs), highlighting the BitNet and BitNet b1.58 models that promise improved efficiency in processing speed and energy usage. The development of a software stack enables local…