SoM
flask-socketio-llm-completions
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| SoM | flask-socketio-llm-completions | |
|---|---|---|
| 3 | 6 | |
| 921 | 30 | |
| 11.6% | - | |
| 9.2 | 9.0 | |
| 3 days ago | 8 days ago | |
| Python | Python | |
| MIT License | - |
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.
SoM
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Ask HN: What have you built with LLMs?
At https://openadapt.ai/ we are using LLMs to automate repetitive tasks in GUI interfaces. Think robotic process automation, but via learning from demonstration rather than no-code scripting.
The stack is mostly python running locally, and calling the OpenAI API (although we have plans to support offline models).
For better visual understanding, we use a custom fork of Set-of-Mark prompting (https://github.com/microsoft/SoM) deployed to EC2 (see https://github.com/OpenAdaptAI/SoM/pull/3).
- Set-of-Mark Visual Prompting for GPT-4V
- Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4Vision
flask-socketio-llm-completions
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Ask HN: What have you built with LLMs?
https://github.com/russellballestrini/flask-socketio-llm-com...
This project is a chatroom application that allows users to join different chat rooms, send messages, and interact with multiple language models in real-time. The backend is built with Flask and Flask-SocketIO for real-time web communication, while the frontend uses HTML, CSS, and JavaScript to provide an interactive user interface.
demo here supports communication with `vllm/openchat`:
* http://home.foxhop.net:5001
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Ask HN: How to figure out a good direction/goals for the year ahead?
next year I'm focusing on learning more about AI, I bought a $3.5k computer with an nvidia RTX 4090 24G of memory, it arrived today, I plan to extend my playground chat app to use local models for text generation and image generation inference (https://github.com/russellballestrini/flask-socketio-llm-com...)
I'm going to be looking into fine tuning process in some way.
- Alternative Front End to GPT, Claude, or Mistral Flask/Socketio
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Open source alternative to ChatGPT and ChatPDF-like AI tools
https://github.com/russellballestrini/flask-socketio-llm-com...
I'm building a similar app but uses python/socket.io
- Python Flask-SocketIO Chatroom with OpenAI & Claude Integration | alternative to ChatGPT frontend
- Show HN: Chatroom app to interact with multiple LLMs in real-time
What are some alternatives?
gpt_jailbreak_status - This is a repository that aims to provide updates on the status of jailbreaking the OpenAI GPT language model.
flask-socketio-llm-com
CX_DB8 - a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Language-games - Dead simple games made with word vectors.
data-analytics - Welcome to the Data-Analytics repository
Modelfiles - Modelfiles pre-engineered for various tasks.
AutoRAG - RAG AutoML Tool - Find optimal RAG pipeline for your own data.