Published on: 2025-06-30 12:15:47
Cogitator A Python Toolkit for Chain-of-Thought Prompting Cogitator is a Python toolkit for experimenting and working with chain-of-thought (CoT) prompting methods in large language models (LLMs). CoT prompting improves LLM performance on complex tasks (like question-answering, reasoning, and problem-solving) by guiding the models to generate intermediate reasoning steps before arriving at the final answer. Additionally, it can be used to improve the interpretability of LLMs by providing ins
Keywords: cogitator cot logging ollama step
Find related items on AmazonPublished on: 2025-07-06 12:43:27
Ollama now supports multimodal models via Ollama’s new engine, starting with new vision multimodal models: General Multimodal Understanding & Reasoning Llama 4 Scout ollama run llama4:scout (Note: this is a 109 billion parameter, mixture-of-experts model.) Example: asking location-based questions about a video frame: You can then ask follow-up questions: ollama@ollamas-computer ~ % ollama run llama4:scout >>> what do you see in this image? /Users/ollama/Downloads/multimodal-example1.png A
Keywords: image llama model models ollama
Find related items on AmazonPublished on: 2025-07-25 16:17:32
Real-Time AI Voice Chat 🎤💬🧠🔊 Have a natural, spoken conversation with an AI! This project lets you chat with a Large Language Model (LLM) using just your voice, receiving spoken responses in near real-time. Think of it as your own digital conversation partner. FastVoiceTalk_compressed_step3_h264.mp4 (early preview - first reasonably stable version) What's Under the Hood? A sophisticated client-server system built for low-latency interaction: 🎙️ Capture: Your voice is captured by your brow
Keywords: compose docker install ollama py
Find related items on AmazonPublished on: 2025-09-01 09:50:09
Convenient LLMs at Home I’ve been wanting to experiment with LLMs in my homelab, but didn’t want the overhead of a dedicated GPU machine or the slowness of CPU processing. I also wanted everything to be convenient long-term: updates needed to be automated, and if the OS dies rebuilding needed to be quick and easy, etc. Running NixOS with WSL on my gaming PC seemed like the perfect solution, but I kept running into several challenges: Concerns of my vram getting locked to LLMs WSL would shut
Keywords: nixos nvidia ollama tailscale wsl
Find related items on AmazonPublished on: 2025-09-26 00:32:40
simonw/ollama-models-atom-feed. I setup a GitHub Actions + GitHub Pages Atom feed of scraped recent models data from the Ollama latest models page - Ollama remains one of the easiest ways to run models on a laptop so a new model release from them is worth hearing about. I built the scraper by pasting example HTML into Claude and asking for a Python script to convert it to Atom - here's the script we wrote together.
Keywords: atom feed github models ollama
Find related items on AmazonPublished on: 2025-10-21 00:48:15
This model requires Ollama 0.6 or later. Download Ollama Gemma is a lightweight, family of models from Google built on Gemini technology. The Gemma 3 models are multimodal—processing text and images—and feature a 128K context window with support for over 140 languages. Available in 1B, 4B, 12B, and 27B parameter sizes, they excel in tasks like question answering, summarization, and reasoning, while their compact design allows deployment on resource-limited devices. Models Text 1B parameter m
Keywords: context gemma model ollama window
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