Gemma 3 represents Google’s approach to accessible AI, bridging the gap between cutting-edge research and practical application. While the Gemini family represents Google’s flagship, closed, and most powerful models, Gemma offers a lightweight, “open” counterpart designed for wider use and customization. Specifically, Gemma 3’s model weights are openly released, allowing developers to download, deploy, andContinue reading "Gemma 3: What You Need To Know"

How to back up, downgrade, and restore Ollama on macOS without losing models or data

In this video, I look at olmOCR, the OpenOCR system from Allen AI. Colab: https://dripl.ink/HpaK4 Blog: https://olmocr.allenai.org/blog macOS ver: https://jonathansoma.com/words/olmocr-on-macos-with-lm-studio.html For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Intro 00:31 Allen AI Blog 01:20 olmOCR Blog 02:08 olmOCR Hugging Face 04:52 olmOCR GitHub 05:41 Demo 05:59 Running olmOCR on macOS with LM Studio

I tested my local, small LLM connected to my Zotero database in Open WebUI against NotebookLM. The results were really, truly surprising. Please Like and Subscribe to support the channel! @LearnMetaAnalysis I tested Granite 3.1-2b and Granite 3.1-8b vs NotebookLM. I am now more impressed than ever! If you find Granite hallucinating with the default temperature setting, I've had good results setting it at about .20. Results from the testing: https://docs.google.com/spreadsheets/d/1nW7B_A7fzayaMancYwU89ApOOfLG5WOefzstdL_fg-Y/edit?usp=sharing Learn how to set up your own local, private research assistant like Dwayne with no coding: https://youtu.be/b2BSZfOtD_w The original RAG template I adapted (my modified version is in the google sheet): https://medium.com/@kelvincampelo/how-ive-optimized-document-interactions-with-open-webui-and-rag-a-comprehensive-guide-65d1221729eb Tutorials and how-to guides: Connect a LLM to your Zotero (or any other local folder): https://youtu.be/b2BSZfOtD_w Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp Want free point and click (no coding required) meta-analysis software? Check out Simple Meta-Analysis: https://learnmeta-analysis.com/pages/simple-meta-analysis-software Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R! https://youtu.be/HuWXbe7hgFc Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/ Visit our website at https://learnmeta-analysis.com/ 0:40 Setup 4:05 Results

Learn how to make simple changes that help your LLM chat with Zotero like a pro! I’m getting well written, well-cited results from a 2b parameter LLM. Please Like and Subscribe to support the channel! @LearnMetaAnalysis Embedding result testing: https://docs.google.com/spreadsheets/d/1P3rOLEO_NtCUYxaFIVaVZfMv4BOkQb3w/edit?usp=sharing&ouid=111617079417577058774&rtpof=true&sd=true Granite 3.1 Dense is my favorite LLM for this setup right now, it's available in 2b and 8b versions for ollama - https://ollama.com/library/granite3.1-dense:2b Snowflake Arctic Embed 2 has performed well for me so far as an embedding model: https://ollama.com/library/snowflake-arctic-embed2 MTEB leaderboard to see what embedding models perform well at different tasks: https://huggingface.co/spaces/mteb/leaderboard How to connect a LLM to Zotero - https://youtu.be/b2BSZfOtD_w I generally prefer local, private LLMs, but if you need large SOTA models like ChatGPT, Claude, Deepseek, Gemini, or Grok, check out ChatLLM - My 3 month review of ChatLLM: https://youtu.be/_Z3nLKvTbGc Tutorials and how-to guides: Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp Want free point and click (no coding required) meta-analysis software? Check out Simple Meta-Analysis: https://learnmeta-analysis.com/pages/simple-meta-analysis-software Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R! https://youtu.be/HuWXbe7hgFc Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/ Visit our website at https://learnmeta-analysis.com/ 0:15 Knowledge 0:59 Help make this better 1:32 Modify ‘knowledge’ settings 5:46 Demo of results 7:22 Top K 11:25 Testing Different embeddings 13:25 Use # not models 14:45 Impatient people (like me!) start here 21:38 Example Results

Learn how to use chat with your Zotero database using a private, local LLM with no coding required, Llama, Deepseek, any LLM you want! Please like and subscribe to help support the channel. @LearnMetaAnalysis Ollama - https://ollama.com/ Docker - https://www.docker.com/ Open WebUI Quickstart - https://docs.openwebui.com/getting-started/quick-start Zotero - https://www.zotero.org/ Zotero Directory Information - https://www.zotero.org/support/zotero_data Tutorials and how-to guides: Getting started with Open WebUI: https://youtu.be/gm_1VUg3L24 Conventional meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkEbYpBIgikgE0y9QR7QIgzs Three-level meta-analysis: https://www.youtube.com/playlist?list=PLXa5cTEormkHwRmu_TJXa7fSb6-WBXXoJ Three-level meta-analysis with correlated and hierarchical effects and robust variance estimation: https://www.youtube.com/playlist?list=PLXa5cTEormkEGenfcnp9X5dQUhmm7f9Jp Want free point and click (no coding required) meta-analysis software? Check out Simple Meta-Analysis: https://learnmeta-analysis.com/pages/simple-meta-analysis-software Tired of manually extracting data for systematic review and meta-analysis? Check out AI-Assisted Data Extraction, a free package for R! https://youtu.be/HuWXbe7hgFc Free ebook on meta-analysis in R (no download required): https://noah-schroeder.github.io/reviewbook/ Visit our website at https://learnmeta-analysis.com/ 0:00 What we’re building 1:40 Requirements 7:05 Sync Zotero database 10:13 Custom model 12:13 It works! 17:26 Changing LLM 18:54 Updating knowledge database

Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget) - jina-ai/node-DeepResearch

Documentation for LLM Toolkit, Transformer Lab

You can now reproduce your own DeepSeek-R1 reasoning model with Unsloth 100% locally. Using GRPO. Open-source, free and beginner friendly.

This post explores the use of Ollama, a state-of-the-art language modelling framework, in conjunction with pre-trained models such as DeepSeek R1.

Tim Kellogg shares his notes on a new paper, [s1: Simple test-time scaling](https://arxiv.org/abs/2501.19393), which describes an inference-scaling model fine-tuned on top of Qwen2.5-32B-Instruct for just $6 - the cost for …

DeepSeek R-1 is the most powerful open-source reasoning model that performs on par with OpenAI's o1 model. Run the 1.58-bit Dynamic GGUF version by Unsloth.

A detailed look at the DeepSeek-R1 model, and how to run it locally.

Msty is the perfect alternative to LM Studio. Msty offers a powerful and intuitive interface that makes it easy to get started, even for beginners. Say goodbye to complexities and embrace the simplicity with Msty. With innovative features like Folders, Vapor Mode, and Workspaces, Msty makes you more productive than you ever got with LM Studio.

A snappy, keyboard-centric terminal user interface for interacting with large language models. Chat with ChatGPT, Claude, Llama 3, Phi 3, Mistral, Gemma and more. - darrenburns/elia

MiniCPM-o 2.6: A GPT-4o Level MLLM for Vision, Speech and Multimodal Live Streaming on Your Phone - OpenBMB/MiniCPM-o

Learn how to build a VS Code Extension from scratch. In this fun tutorial, we integrate DeepSeek R1 direction into our editor to build a custom AI assistant. Go Deeper https://fireship.io/courses Related Content: VS Code Extension Template https://code.visualstudio.com/api/get-started/your-first-extension Ollama DeepSeek R1 https://ollama.com/library/deepseek-r1 DeepSeek R1 First Look https://youtu.be/-2k1rcRzsLA DeepSeek Fallout https://youtu.be/Nl7aCUsWykg

Learn how to run DeepSeek R1 locally using Ollama in this comprehensive guide. Discover step-by-step instructions, prerequisites, and how to test the API with Apidog.

🚀 Want to fine-tune AI models on your Mac without cloud services? As an ex-Ollama developer, I'll show you how to use Apple's MLX framework to fine-tune mod...

Org profile for MLX Community on Hugging Face, the AI community building the future.

Meta's new Llama 3.3 70B is a genuinely GPT-4 class Large Language Model that runs on my laptop.

Psst, kid, want some cheap and small LLMs?

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚ - exo-explore/exo

Get started with MCP in less than 5 minutes

Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚ - exo-explore/exo

Ollama released version 0.4 [last week](https://github.com/ollama/ollama/releases/tag/v0.4.0) with support for Meta's first Llama vision model, [Llama 3.2](https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/). If you have Ollama installed you can fetch the 11B model (7.9 GB) like …

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 MLX ecosystem of libraries for running machine learning models on Apple Silicon continues to expand. Prince Canuma is actively developing this library for running vision models such as Qwen-2 …