AI/ML

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

Described as GenAIs greatest flaw, indirect prompt injection is a big problem, Mike Pound from University of Nottingham explains how it is like SQL Injection...

Comparison and ranking the performance of over 30 AI models (LLMs) across key metrics including quality, price, performance and speed (output speed - tokens per second & latency - TTFT), context window & others.

Discover amazing ML apps made by the community

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

Contribute to simonw/nicar-2025-scraping development by creating an account on GitHub.

OpenAI are rolling out their Deep research "agentic" research tool to their $20/month ChatGPT Plus users today, who get 10 queries a month. $200/month ChatGPT Pro gets 120 uses. Deep …

GitHub Gist: instantly share code, notes, and snippets.

The latest reasoning model and what it says about the direction of inference time compute and RL training.

There were a number of announcements at GitHub Universe that impacted VS Code and Copilot users. This is a roundup of those announcements, including the much-anticipated Copilot Edits, Intent Detection, Model Selection, and Code Reviews. We'll also take a look at some of the amazing extensions created by the VS Code team, including using images for prompts with Vision for Copilot, analyzing CSV data with Data Analysis for Copilot, and GitHub Pull Requests. 🔎 Chapters: 00:00 GitHub Universe announcements 00:30 Demo - Copilot Edits 05:30 Demo - Intent Detection 09:06 Demo - Data Analysis for Copilot 10:19 Demo - GitHub Pull Requests Copilot Integration 13:10 Happy Coding 🔗 Links: https://aka.ms/get-copilot https://aka.ms/IntroducingCopilotEdits Featuring: Rob Conery #vscode #copilot #githubcopilot

Is AI progress slowing down? This piece by Arvind Narayanan and Sayash Kapoor is the single most insightful essay about AI and LLMs I've seen in a long time.

Redefining small LMs performance In this project, we develop technologies for creating, improving, and specializing small LMs (~10B parameters or less). Our research involves self-improvement strategies, feedback-driven teaching methods between large and small models and utilizing domain specific data to specialize LMs. We focus on using richer training signals for teaching small LMs to do […]

Kobra is A Visual Programming language for ML

Get scalable SQL to modernize applications on any cloud, offload expensive databases, and create and extend modern applications with ML/AI.

Artificial Intelligence and Machine Learning - Free source code and tutorials for Software developers and Architects.; Updated: 9 Jan 2021

Large language model applications suffer from a few core novel issues that have been identified over the last two years. Let's see how Grok fares on those.

Pack your codebase into AI-friendly formats

📦 Repomix (formerly Repopack) is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) o...

A detailed walkthrough of my current workflow for using LLms to build software, from brainstorming through planning and execution.

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

artificial and natural intelligence, including politics, policy, ethics and security

AI-powered code editor that helps you write, review, and refactor code faster.

In this video, I showcase CodeLLM, an AI-powered code editor that supports multiple models like Claude Sonnet 3.5, DeepSeek R1, and O1, 03 Mini. I demonstrat...

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

A high-throughput and memory-efficient inference and serving engine for LLMs - vllm-project/vllm

Analysis of DeepSeek's DeepSeek R1 Distill Llama 70B and comparison to other AI models across key metrics including quality, price, performance (tokens per second & time to first token), context window & more.

🤗 smolagents: a barebones library for agents. Agents write python code to call tools and orchestrate other agents. - huggingface/smolagents

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. - comfyanonymous/ComfyUI