AI/ML

Voice + Vision powered AI assistant that answers questions about any application, in context and in audio. - elfvingralf/macOSpilot-ai-assistant: Voice + Vision powered AI assistant that answers qu...

Tutorial on how llamafile makes LLMs shell scriptable.

This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field.

The problem of alignment is an important one when you're setting up AI models to make decisions in matters of finance and health. But how can you reduce

The search engine for your life. Find anything you've seen, said, or heard.

We run the models through seven categories to determine an updated champion.

MLX: An array framework for Apple silicon. Contribute to ml-explore/mlx development by creating an account on GitHub.

M3 Max is a Machine Learning BEAST. So I took it for a spin with some LLM's running locally. Temperature/fan on your Mac: https://www.tunabellysoftware.com/tgpro/index.php?fpr=alex (affiliate link) Run Windows on a Mac: https://prf.hn/click/camref:1100libNI (affiliate) Use COUPON: ZISKIND20 🛒 Gear Links 🛒 * 🍏💥 New MacBook Air M1 Deal: https://amzn.to/3S59ID8 * 💻🔄 Renewed MacBook Air M1 Deal: https://amzn.to/45K1Gmk * 🎧⚡ Great 40Gbps T4 enclosure: https://amzn.to/3JNwBGW * 🛠️🚀 My nvme ssd: https://amzn.to/3YLEySo * 📦🎮 My gear: https://www.amazon.com/shop/alexziskind 🎥 Related Videos 🎥 * 🌗 RAM torture test on Mac - https://youtu.be/l3zIwPgan7M * 🛠️ Set up Conda on Mac - https://youtu.be/2Acht_5_HTo * 👨‍💻 15" MacBook Air | developer's dream - https://youtu.be/A1IOZUCTOkM * 🤖 INSANE Machine Learning on Neural Engine - https://youtu.be/Y2FOUg_jo7k * 💻 M2 MacBook Air and temps - https://youtu.be/R7F-TxEukdY * 💰 This is what spending more on a MacBook Pro gets you - https://youtu.be/iLHrYuQjKPU * 🛠️ Developer productivity Playlist - https://www.youtube.com/playlist?list=PLPwbI_iIX3aQCRdFGM7j4TY_7STfv2aXX 👨‍💻 Primes - https://github.com/PlummersSoftwareLLC/Primes 💻 MacBooks in this video M3 Max (16/40) 16" MacBook Pro 64GB/2TB #m3max #macbook #macbookpro — — — — — — — — — 📱LET'S CONNECT ON SOCIAL MEDIA ALEX ON TWITTER: https://twitter.com/digitalix

Large language models require huge amounts of GPU memory. Is it possible to run inference on a single GPU? If so, what is the minimum GPU…

Enhanced ChatGPT Clone: Features OpenAI, GPT-4 Vision, Bing, Anthropic, OpenRouter, PaLM 2, AI model switching, message search, langchain, DALL-E-3, ChatGPT Plugins, OpenAI Functions, Secure Multi-...

In this paper we tackle the problem of generating conformers of a molecule in 3D space given its molecular graph. We parameterize these conformers as continuous functions that map elements from the molecular graph to points in 3D space. We then formulate the problem of learning to generate conformers as learning a distribution over these functions using a diffusion generative model, called Molecular Conformer Fields (MCF). Our approach is simple and scalable, and achieves state-of-the-art performance on challenging molecular conformer generation benchmarks while making no assumptions about the explicit structure of molecules (e.g. modeling torsional angles). MCF represents an advance in extending diffusion models to handle complex scientific problems in a conceptually simple, scalable and effective manner.

leaked prompts of GPTs. Contribute to linexjlin/GPTs development by creating an account on GitHub.

The easiest local image generate tool

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Optical illusions zero-shot from diffusion models.

www.pydata.org https://docs.google.com/presentation/d/1u32brOjgg-G2MbMk3i3QULAl5v8by_VR42BET8DPPzU/edit?usp=drive_link In this workshop, we'll explore how LangChain, Chroma, Gradio, and Label Studio can be employed as tools for continuous improvement, specifically in building a Question-Answering (QA) system trained to answer questions about an open-source project using domain-specific knowledge from GitHub documentation. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps

In today's video I do some experimentation with the new GPT-4 Vision API and try to scrape information from web pages using it.GitHub: https://github.com/unc...

Convert PDF to markdown quickly with high accuracy - VikParuchuri/marker: Convert PDF to markdown quickly with high accuracy

Draw a picture (fast) with tldraw

Guide for fine-tuning Llama/CodeLlama models. Contribute to modal-labs/llm-finetuning development by creating an account on GitHub.

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Mozilla’s innovation group and Justine Tunney just released llamafile, and I think it’s now the single best way to get started running Large Language Models (think your own local copy …

Distribute and run LLMs with a single file. Contribute to Mozilla-Ocho/llamafile development by creating an account on GitHub.

ChatGPT is full of sensitive private information and spits out verbatim text from CNN, Goodreads, WordPress blogs, fandom wikis, Terms of Service agreements, Stack Overflow source code, Wikipedia pages, news blogs, random internet comments, and much more.

Inside every AI is a bigger AI, trying to get out