TaskMatrix
E2B
TaskMatrix | E2B | |
---|---|---|
10 | 35 | |
34,527 | 6,138 | |
0.1% | 3.5% | |
7.3 | 9.9 | |
4 months ago | 4 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TaskMatrix
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How to create an automation workflow with GPT-4 image input?
I want to create a script that would automatically read telegram posts and process them, for this, using APIs these days is simply not reliable, so I'm thinking of using selenium python with the browser to do this..is there a way to develop an automated workflow that does this? I've looked in visual GPT from Microsoft https://github.com/microsoft/TaskMatrix
- TaskMatrix
- TaskMatrix Connects ChatGPT and a Series of Visual Foundation Models
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April 2023
Low-code LLM (https://github.com/microsoft/TaskMatrix/tree/main/LowCodeLLM)
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GPT-4 with browsing prompt
Yep, this is what Microsoft and others have done with the API to create things like bing chat. See: https://github.com/microsoft/TaskMatrix
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[D] LLM or model that does image -> prompt?
Visual ChatGPT (now renamed as TaskMatrix https://github.com/microsoft/TaskMatrix likely as a result of OpenAI trying to regulate the use of the name GPT. Same happened for GPT-Eval -> G-Eval).
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What’s stopping ChatGPT from replacing a bunch of jobs right now?
Microsoft is also going to connect millions of APIs. Right now software for the most part lives in silos and needs humans to move information from one software application to another. TaskMatrixAI will automate that by having a standard API schema that everyone buys into like Apple’s iOS if they want to make money. GPT and Jarvis automatically write the Python code to connect any desired APIs. https://github.com/microsoft/TaskMatrix/tree/main/TaskMatrix.AI
- 👨💻 Microsoft Researchers Propose Low-Code LLM: A Novel Human-LLM Interaction Pattern
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Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
microsoft/TaskMatrix (github.com)
- The repository where TaskMatrix.AI will be released just officially changed names from Visual ChatGPT to TaskMatrix. Code is probably coming soon.
E2B
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Ask HN: Who is hiring? (May 2024)
E2B | https://e2b.dev | San Francisco, CA | Full-time | In-person
[E2B](https://e2b.dev) is building a secure open-source runtime that will power next billion of AI apps & agents.
We found an early traction with making it easy for developers to add [code interpreting](https://github.com/e2b-dev/code-interpreter) to their AI apps with our SDK built on top of our [agentic runtime](https://github.com/e2b-dev/e2b). We have paying customers from seed to enterprise companies.
We're hiring:
- Frontend/Product Engineer
- Infrastructure Engineer
Check the roles here https://e2b.dev/careers
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Show HN: Add AI code interpreter to any LLM via SDK
Hi, I'm the CEO of the company that built this SDK.
We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].
You can think of us as giving small cloud computers to LLMs.
We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense
The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].
We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].
Our long-term plan is to build an automated AWS for AI apps and agents.
Happy to answer any questions and hear feedback!
[0] https://e2b.dev/
[1] https://github.com/e2b-dev
[2] https://github.com/firecracker-microvm/firecracker
[3] https://e2b.dev/docs
[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...
[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...
- Open Source Python Code Interpreter for Any LLM
- Show HN: Open-Source Infrastructure for AI Code Interpreters
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We're building cloud runtime for AI agents and gradually open-sourcing everything
Hey folks, we're building an open source runtime for AI agents at E2B.
- Show HN: Run LLM-generated code in sandboxed envs
- Sandboxed cloud environments for AI agents & apps with a single line of code
- We're building a cloud for AI agents & AI apps, It's free and we're gradually open-sourcing the infra. Would love to hear your feedback!
- [P] We're building a cloud for AI agents & AI apps, It's free and we're gradually open-sourcing the infra. Would love to hear your feedback!
What are some alternatives?
JARVIS - JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]
doctorgpt - DoctorGPT brings GPT into production for application log error diagnosing!
chatgpt-shell - ChatGPT and DALL-E Emacs shells + Org babel 🦄 + a shell maker for other providers
EditAnything - Edit anything in images powered by segment-anything, ControlNet, StableDiffusion, etc. (ACM MM)
IncognitoPilot - An AI code interpreter for sensitive data, powered by GPT-4 or Code Llama / Llama 2.
deepdoctection - A Repo For Document AI
Selefra - The open-source policy-as-code software that provides analysis for Multi-Cloud and SaaS environments, you can get insight with natural language (powered by OpenAI).
supercharger - Supercharge Open-Source AI Models
telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.