Tag: llms

Source URL: https://simonwillison.net/2024/Nov/13/ollama-llama-vision/#atom-everything Source: Simon Willison’s Weblog Title: Ollama: Llama 3.2 Vision Feedly Summary: Ollama: Llama 3.2 Vision Ollama released version 0.4 last week with support for Meta’s first Llama vision model, Llama 3.2. If you have Ollama installed you can fetch the 11B model (7.9 GB) like this: ollama pull llama3.2-vision Or the larger…

Simon Willison’s Weblog: Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac

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Source URL: https://simonwillison.net/2024/Nov/12/qwen25-coder/ Source: Simon Willison’s Weblog Title: Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac Feedly Summary: There’s a whole lot of buzz around the new Qwen2.5-Coder Series of open source (Apache 2.0 licensed) LLM releases from Alibaba’s Qwen research team. On first impression it looks like the buzz…

Docker: Accelerating AI Development with the Docker AI Catalog

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Source URL: https://www.docker.com/blog/accelerating-ai-development-with-the-docker-ai-catalog/ Source: Docker Title: Accelerating AI Development with the Docker AI Catalog Feedly Summary: Docker’s AI Catalog simplifies AI development by offering a curated platform that helps developers and publishers easily integrate AI capabilities into applications. AI Summary and Description: Yes **Summary:** The text discusses Docker’s introduction of the AI Catalog, a resource…

Hacker News: The Lost Reading Items of Ilya Sutskever’s AI Reading List

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Source URL: https://tensorlabbet.com/2024/11/11/lost-reading-items/ Source: Hacker News Title: The Lost Reading Items of Ilya Sutskever’s AI Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text analyzes the reconstruction of Ilya Sutskever’s 2020 AI reading list, revealing that several important items were lost due to OpenAI’s email deletion policy. The author aims to…

Hacker News: Visual inference exploration and experimentation playground

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Source URL: https://github.com/devidw/inferit Source: Hacker News Title: Visual inference exploration and experimentation playground Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces “inferit,” a tool designed for large language model (LLM) inference that enables users to visually compare outputs from various models, prompts, and settings. It stands out by allowing unlimited side-by-side…

Hacker News: Binary vector embeddings are so cool

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Source URL: https://emschwartz.me/binary-vector-embeddings-are-so-cool/ Source: Hacker News Title: Binary vector embeddings are so cool Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses binary quantized vector embeddings, emphasizing their ability to retain high accuracy while dramatically reducing storage size for machine learning applications. This topic is particularly relevant for AI and infrastructure security…

Hacker News: TinyTroupe, a new LLM-powered multiagent persona simulation Python library

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Source URL: https://github.com/microsoft/TinyTroupe Source: Hacker News Title: TinyTroupe, a new LLM-powered multiagent persona simulation Python library Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses TinyTroupe, an experimental Python library leveraging Large Language Models (LLMs) to simulate interactions of various personas for business insights and creativity enhancement. It emphasizes its distinction from…

Hacker News: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP

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Source URL: https://epochai.org/blog/data-movement-bottlenecks-scaling-past-1e28-flop Source: Hacker News Title: Data movement bottlenecks to large-scale model training: Scaling past 1e28 FLOP Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text explores the limitations and challenges of scaling large language models (LLMs) in distributed training environments. It highlights critical technological constraints related to data movement both…

Slashdot: OpenAI and Others Seek New Path To Smarter AI as Current Methods Hit Limitations

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