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CX_DB8 Alternatives
Similar projects and alternatives to CX_DB8
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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.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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gpt_jailbreak_status
This is a repository that aims to provide updates on the status of jailbreaking the OpenAI GPT language model.
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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)
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script-toolbox
This repository contains a collection of scripts and tools that I have written to solve various problems that I have come across.
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SaaSHub
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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
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joia
A ChatGPT alternative designed for team collaboration. Lightweight, privacy-friendly and open source.
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CNNMRF
code for paper "Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis"
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flask-socketio-llm-completions
Chatroom app where messages are sent to GPT, Claude, Mistral, Together, Groq AI and streamed to the frontend.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better CX_DB8 alternative or higher similarity.
CX_DB8 reviews and mentions
Posts with mentions or reviews of CX_DB8.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-05.
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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.
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A note from our sponsor - SaaSHub
www.saashub.com | 4 May 2024
Stats
Basic CX_DB8 repo stats
4
222
0.0
over 1 year ago
Hellisotherpeople/CX_DB8 is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of CX_DB8 is Python.
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