AI/ML

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

Description The llama.cpp project offers unique ways of utilizing cloud computing resources. Here we will demonstrate how to deploy a llama.cpp server on a AWS instance for serving quantum and full...

This talk sheds light on emerging attack techniques in AI applications such as Prompt Injections, a vulnerability at the very core of LLM Agents, Automated Tool Request Forgery, Data Exfiltration, and more.

LLM Chain querying a scientific Zotero library, with citations - Frost-group/The-Oracle-of-Zotero: LLM Chain querying a scientific Zotero library, with citations

Most prompts contain a combination of the following components: request, framing context, format specification, and one or more references to previous answers or external sources. There are also 3 types of unconventional prompts that do not follow this structure: "Can you do X," "Give me more," and filler prompts.

DALL·E image → GPT4 Vision → repeat

A neat thing about podcast appearances is that, thanks to Whisper transcriptions, I can often repurpose parts of them as written content for my blog. One of the areas Nikita …

Description

Key Takeaways We expanded our Sparse Fine-Tuning research results to include Llama 2. The results include 60% sparsity with INT8 quantization and no drop in accuracy. DeepSparse now supports accelerated inference of sparse-quantized Llama 2 models, with inference speeds 6-8x faster over the baseline at 60-80% sparsity. We used some interesting algorithmic techniques in order

The most advanced AI upscaler & enhancer. Magnific can hallucinate and reimagine as many details as you wish guided by your own prompt and parameters!