Experimental News Clipping Site

Tag: ollama

  • Hacker News: Prompting Large Language Models in Bash Scripts

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    Kurt Seifried
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    Source URL: https://elijahpotter.dev/articles/prompting_large_language_models_in_bash_scripts Source: Hacker News Title: Prompting Large Language Models in Bash Scripts Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the use of large language models (LLMs) in bash scripts, specifically highlighting a tool called “ofc” that facilitates this integration. It explores innovative uses for LLMs in generating datasets…

  • Hacker News: The Dino, the Llama, and the Whale (Deno and Jupyter for Local AI Experiments)

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    Kurt Seifried
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    Source URL: https://deno.com/blog/the-dino-llama-and-whale Source: Hacker News Title: The Dino, the Llama, and the Whale (Deno and Jupyter for Local AI Experiments) Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the author’s journey in experimenting with a locally hosted large language model (LLM) using various tools such as Deno, Jupyter Notebook, and…

  • Hacker News: Run structured extraction on documents/images locally with Ollama and Pydantic

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    Kurt Seifried
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    Source URL: https://github.com/vlm-run/vlmrun-hub Source: Hacker News Title: Run structured extraction on documents/images locally with Ollama and Pydantic Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text describes the VLM Run Hub, which offers pre-defined Pydantic schemas aimed at facilitating data extraction from unstructured visual domains like images and videos, particularly for Vision Language…

  • Hacker News: Ollama-Swift

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    Kurt Seifried
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    Source URL: https://nshipster.com/ollama/ Source: Hacker News Title: Ollama-Swift Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Apple Intelligence introduced at WWDC 2024 and highlights Ollama, a tool that allows users to run large language models (LLMs) locally on their Macs. It emphasizes the advantages of local AI computation, including enhanced privacy,…

  • Simon Willison’s Weblog: Run LLMs on macOS using llm-mlx and Apple’s MLX framework

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/15/llm-mlx/#atom-everything Source: Simon Willison’s Weblog Title: Run LLMs on macOS using llm-mlx and Apple’s MLX framework Feedly Summary: llm-mlx is a brand new plugin for my LLM Python Library and CLI utility which builds on top of Apple’s excellent MLX array framework library and mlx-lm package. If you’re a terminal user or Python…

  • Simon Willison’s Weblog: S1: The $6 R1 Competitor?

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Feb/5/s1-the-6-r1-competitor/ Source: Simon Willison’s Weblog Title: S1: The $6 R1 Competitor? Feedly Summary: S1: The $6 R1 Competitor? Tim Kellogg shares his notes on a new paper, s1: Simple test-time scaling, which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 – the cost for 26 minutes on 16 NVIDIA…

  • Hacker News: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way

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    Kurt Seifried
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    Source URL: https://linux-howto.org/running-deepseek-r1-on-your-own-hardware-the-fast-and-easy-way Source: Hacker News Title: Running DeepSeek R1 on Your Own (cheap) Hardware – The fast and easy way Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides a step-by-step guide to setting up and running the DeepSeek R1 large language model on personal hardware, emphasizing its independence from cloud…

  • Hacker News: RamaLama

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    Kurt Seifried
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    Source URL: https://github.com/containers/ramalama Source: Hacker News Title: RamaLama Feedly Summary: Comments AI Summary and Description: Yes Summary: The RamaLama project simplifies the deployment and management of AI models using Open Container Initiative (OCI) containers, facilitating both local and cloud environments. Its design aims to reduce complexities for users by leveraging container technology, making AI applications…

  • Hacker News: A step-by-step guide on deploying DeepSeek-R1 671B locally

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    Kurt Seifried
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    Source URL: https://snowkylin.github.io/blogs/a-note-on-deepseek-r1.html Source: Hacker News Title: A step-by-step guide on deploying DeepSeek-R1 671B locally Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text provides a detailed guide for deploying DeepSeek R1 671B AI models locally using ollama, including hardware requirements, installation steps, and observations on model performance. This information is particularly relevant…

  • Simon Willison’s Weblog: Mistral Small 3

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/30/mistral-small-3/#atom-everything Source: Simon Willison’s Weblog Title: Mistral Small 3 Feedly Summary: Mistral Small 3 First model release of 2025 for French AI lab Mistral, who describe Mistral Small 3 as “a latency-optimized 24B-parameter model released under the Apache 2.0 license." More notably, they claim the following: Mistral Small 3 is competitive with larger…