AI/ML

This is a nasty one. Writer.com call themselves a "secure enterprise generative AI platform", offering collaborative generative AI writing assistance and question answering that can integrate with your company's private …

update: https://www.youtube.com/watch?v=1RrkRA7wuoEcode: https://github.com/gregsadetsky/sagittarius

Mistral AI's new model — Mixtral 8x7B — is pretty impressive. We'll see how to get set up and deploy Mixtral 8X7B, the prompt format it requires, and how it performs when being used as an Agent — we even add in some Mixtral RAG at the end. As a bit of a spoiler, Mixtral is probably the first open-source LLM that is truly very very good — I say this considering the following key points: - Benchmarks show it to perform better than GPT-3.5. - My own testing shows Mixtral to be the first open weights model we can reliably use as an agent. - Due to MoE architecture it is very fast given its size. If you can afford to run on 2x A100s and latency is good enough to be used in chatbot use cases. 📕 Mixtral 8X7B Page (I'll be publishing soon): https://www.pinecone.io/learn/ 📌 Code Notebook: https://github.com/pinecone-io/examples/blob/master/learn/generation/llm-field-guide/mistral-ai/mixtral-8x7b/00-mixtral-8x7b-agent.ipynb 🌲 Subscribe for Latest Articles and Videos: https://www.pinecone.io/newsletter-signup/ 👋🏼 AI Dev: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ 00:00 Mixtral 8X7B is better than GPT 3.5 00:50 Deploying Mixtral 8x7B 03:21 Mixtral Code Setup 08:17 Using Mixtral Instructions 10:04 Mixtral Special Tokens 13:29 Parsing Multiple Agent Tools 14:28 RAG with Mixtral 17:01 Final Thoughts on Mixtral #artificialintelligence #nlp #ai #chatbot #opensource

They had to throw away most of what it produced but there was gold among the garbage.

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

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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

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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 …