Spliit
flask-socketio-llm-com
Spliit | flask-socketio-llm-com | |
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7 | 3 | |
561 | - | |
19.8% | - | |
9.2 | - | |
9 days ago | - | |
TypeScript | ||
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.
Spliit
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Ask HN: What have you built with LLMs?
For my expense sharing app [1], I added receipt scanning in a few minutes and a few lines of code by using GPT 4 with Vision. I am aware that LLMs often are a solution looking for a problem, but there are some situations where a bit of magic is just great :)
It is a Next.js application, calling OpenAI’s API using a plain API route.
[1] https://spliit.app
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TripSplit VS spliit2 - a user suggested alternative
2 projects | 15 Jan 2024
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splitio VS spliit2 - a user suggested alternative
2 projects | 15 Jan 2024
- Show HN: Spliit – Free and Open Source Alternative to Splitwise
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Show HN: Spliit v2 – Free and Open Source Alternative to Splitwise
I created the project a couple of years ago to learn Go, but I just rewrote it using a stack I am more comfortable with (Next.js). I also made it open source [1], to feel free to contribute ;)
[1] https://github.com/scastiel/spliit2
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Spliit v2 – Open Source alternative to Splitwise
I totally rewrote it (migrating the existing data of course) with a technology I am more familiar with (Next.js, React, TailwindCSS, Prisma…), and made the new version open source! Feel free to contribute by creating an issue or even a pull-request if you want 😉.
flask-socketio-llm-com
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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.
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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
What are some alternatives?
CX_DB8 - a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
danswer - Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.
Language-games - Dead simple games made with word vectors.
flask-socketio-llm-completions - Chatroom app where messages are sent to GPT, Claude, Mistral, Together, Groq AI and streamed to the frontend.
data-analytics - Welcome to the Data-Analytics repository
datadm - DataDM is your private data assistant. Slide into your data's DMs
grand-slams-dashboard - ATP / WTA Grand Slam Tennis Dashboard. View all time major leaders, filter by tournament, analyze player major final performance
Modelfiles - Modelfiles pre-engineered for various tasks.
agenthost