SoM
Language-games
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| SoM | Language-games | |
|---|---|---|
| 3 | 3 | |
| 921 | 97 | |
| 11.6% | - | |
| 9.2 | 10.0 | |
| 3 days ago | over 4 years ago | |
| Python | Python | |
| MIT License | 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
Language-games
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Ask HN: What have you built with LLMs?
I was working on this stuff before it was cool, so in the sense of the precursor to LLMs (and sometimes supporting LLMs still) I've built many things:
1. Games you can play with word2vec or related models (could be drop in replaced with sentence transformer). It's crazy that this is 5 years old now: https://github.com/Hellisotherpeople/Language-games
2. "Constrained Text Generation Studio" - A research project I wrote when I was trying to solve LLM's inability to follow syntactic, phonetic, or semantic constraints: https://github.com/Hellisotherpeople/Constrained-Text-Genera...
3. DebateKG - A bunch of "Semantic Knowledge Graphs" built on my pet debate evidence dataset (LLM backed embeddings indexes synchronized with a graphDB and a sqlDB via txtai). Can create compelling policy debate cases https://github.com/Hellisotherpeople/DebateKG
4. My failed attempt at a good extractive summarizer. My life work is dedicated to one day solving the problems I tried to fix with this project: https://github.com/Hellisotherpeople/CX_DB8
- The Limits of GPT-3 and Similar Large Language Models
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Semantle
I wrote a set of "language games" using word embeddings. Very similar to what's shown here.
https://github.com/Hellisotherpeople/Language-games
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.
CX_DB8 - a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)
Constrained-Text-Generation-Studio - Code repo for "Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studio" at the (CAI2) workshop, jointly held at (COLING 2022)
data-analytics - Welcome to the Data-Analytics repository
Constrained-Text-Genera
BrowserGPT - Command your browser with GPT
datadm - DataDM is your private data assistant. Slide into your data's DMs
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
flask-socketio-llm-completions - Chatroom app where messages are sent to GPT, Claude, Mistral, Together, Groq AI and streamed to the frontend.
flask-socketio-llm-com