Introducing Stable Zero123: Quality 3D Object Generation from Single Images โ Stability AI
Stable Zero123 is an AI-powered model for generating novel views of 3D objects with improved quality. Released for non-commercial and research purposes, it uses an improved dataset and elevation conditioning for higher-quality predictions. Using the improved open-source code, researchers can use thi
FunSearch: Making new discoveries in mathematical sciences using Large Language Models
We introduce FunSearch, a method for searching for โfunctionsโ written in computer code, and find new solutions in mathematics and computer science. FunSearch works by pairing a pre-trained LLM, whose goal is to provide creative solutions in the form of computer code, with an automated โevaluatorโ, which guards against hallucinations and incorrect ideas.
Data exfiltration from Writer.com with indirect prompt injection
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 โฆ
Mistral AI's new model โ Mixtral 8x7B โ 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 โ 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 โ 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.
๐ Mixtral 8X7B Page (I'll be publishing soon):
https://www.pinecone.io/learn/
๐ Code Notebook:
https://github.com/pinecone-io/examples/blob/master/learn/generation/llm-field-guide/mistral-ai/mixtral-8x7b/00-mixtral-8x7b-agent.ipynb
๐ฒ Subscribe for Latest Articles and Videos:
https://www.pinecone.io/newsletter-signup/
๐๐ผ AI Dev:
https://aurelio.ai
๐พ 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
elfvingralf/macOSpilot-ai-assistant: Voice + Vision powered AI assistant that answers questions about any application, in context and in audio.
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...
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.
Anthropic's latest tactic to stop racist AI: Asking it 'really really really really' nicely | TechCrunch
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
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
๐ Gear Links ๐
* ๐๐ฅ New MacBook Air M1 Deal: https://amzn.to/3S59ID8
* ๐ป๐ Renewed MacBook Air M1 Deal: https://amzn.to/45K1Gmk
* ๐งโก Great 40Gbps T4 enclosure: https://amzn.to/3JNwBGW
* ๐ ๏ธ๐ My nvme ssd: https://amzn.to/3YLEySo
* ๐ฆ๐ฎ My gear: https://www.amazon.com/shop/alexziskind
๐ฅ Related Videos ๐ฅ
* ๐ RAM torture test on Mac - https://youtu.be/l3zIwPgan7M
* ๐ ๏ธ Set up Conda on Mac - https://youtu.be/2Acht_5_HTo
* ๐จโ๐ป 15" MacBook Air | developer's dream - https://youtu.be/A1IOZUCTOkM
* ๐ค INSANE Machine Learning on Neural Engine - https://youtu.be/Y2FOUg_jo7k
* ๐ป M2 MacBook Air and temps - https://youtu.be/R7F-TxEukdY
* ๐ฐ This is what spending more on a MacBook Pro gets you - https://youtu.be/iLHrYuQjKPU
* ๐ ๏ธ Developer productivity Playlist - https://www.youtube.com/playlist?list=PLPwbI_iIX3aQCRdFGM7j4TY_7STfv2aXX
๐จโ๐ป Primes - https://github.com/PlummersSoftwareLLC/Primes
๐ป MacBooks in this video
M3 Max (16/40) 16" MacBook Pro 64GB/2TB
#m3max #macbook #macbookpro
โ โ โ โ โ โ โ โ โ
๐ฑLET'S CONNECT ON SOCIAL MEDIA
ALEX ON TWITTER: https://twitter.com/digitalix
danny-avila/LibreChat: 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-User System, Presets, completely open-source for self-hosting. More features in development
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.
Chris Hoge - Building an Expert Q&A Bot with Open Source Tools and LLMs | PyData NYC 2023
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...