CX_DB8
LookupChatGPT
CX_DB8 | LookupChatGPT | |
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4 | 6 | |
222 | 21 | |
- | - | |
0.0 | 8.1 | |
over 1 year ago | 3 months ago | |
Python | JavaScript | |
GNU General Public License v3.0 only | GNU General Public License v3.0 only |
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CX_DB8
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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
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How critical theory is radicalizing high school debate
I really missed out on this thread despite being likely one of the most important folks to post on it (I turned my time in Policy Debate into an NLP career - see DebateSum: https://huggingface.co/datasets/Hellisotherpeople/DebateSum and CX_DB8: https://github.com/Hellisotherpeople/CX_DB8)
For those who are interested in the intersection of AI and Debate Evidence, there's a lot more work being done right now. We have a follow-up dataset to DebateSum on its way to a paper at some conference called OpenCaseList: https://huggingface.co/datasets/Yusuf5/OpenCaselist which is basically DebateSum but 40x better in every way. This is also likely the largest and best quality argument mining dataset ever gathered.
Fun anecdote, when I tried to introduce automatic extractive summarization tools to the debate community, I had parent/judge/teacher groups who were FLIPPING out about this. They were not happy at the idea of automatic debating or computer assisted debating systems.
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Copy is all you need
This has deep connections with my attempt to implement an effective queryable word-level grammatically correct extractive text summarizer (AKA: The way most people actually summarize documents) - https://github.com/Hellisotherpeople/CX_DB8
I will try to implement this with the necessary changes to actually make this work properly, where instead of generating a new answer, it simply highlights the most likely text spans.
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Haystack 1.0 – open-source NLP framework to build NLProc back end applications
Is there any path forward to make Haystack do word-level extractive summarization? e.g. like this: https://github.com/Hellisotherpeople/CX_DB8
or like this: https://huggingface.co/spaces/Hellisotherpeople/Unsupervised...
I am trying to find anything better than these two for this task. I feel like Haystack could be an option - but I am not sure.
LookupChatGPT
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Ask HN: What have you built with LLMs?
A chrome extension to ask about selected text with a right click. https://github.com/SMUsamaShah/LookupChatGPT
A chrome extension to show processed video overlay on YouTube to highlight motion.
A script to show stories going up and down on HN front page. This one just took 1 prompt.
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Chrome Experimental AI Features
I have a chrome extension (https://github.com/SMUsamaShah/LookupChatGPT) where i just added in-place text replacement option. Write something, select it, right click and select your own prompt to refine the text your way.
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Ask HN: What apps have you created for your own use?
https://github.com/SMUsamaShah/LookupChatGPT/ a chrome plugin to ask ChatGPT about selected text (fully customizable). Came out of need to understand random jargon.
- Quick Look up selected text via ChatGPT using your own prompt
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Ask HN: What are your most used Chat GPT prompts
I often use this on HN itself when I come across something I have no clue about. It gives me back enough info to understand the discussion.
[1]: https://github.com/SMUsamaShah/LookupChatGPT/
- Show HN: Chrome addon to lookup selected text via ChatGPT using custom prompts
What are some alternatives?
newscatcher - Programmatically collect normalized news from (almost) any website.
ChatGPT-AutoExpert - 🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
reddit-thread-summarizer - A Reddit thread summarizer is a tool that generates a summary of the main points or themes discussed in a Reddit thread
gpt_jailbreak_status - This is a repository that aims to provide updates on the status of jailbreaking the OpenAI GPT language model.
frogbase - Transform audio-visual content into navigable knowledge.
RSS-Link-Database - Bookmarked archived links
CNNMRF - code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
pq - a command-line Protobuf parser with Kafka support and JSON output
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
aider - aider is AI pair programming in your terminal
data-analytics - Welcome to the Data-Analytics repository