AutoLearn-GPT
pydoxtools
AutoLearn-GPT | pydoxtools | |
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1 | 2 | |
24 | 58 | |
- | - | |
6.5 | 9.5 | |
about 1 year ago | 3 months ago | |
Python | Python | |
MIT License | MIT License |
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AutoLearn-GPT
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Can GPT improve itself?
Has anyone explored whether GPT could improve itself using the data it gathered. I have made a project that might be the first step to explore it, which is justing memorizing everything that it does not know. Here is the link: Reason-Wang/AutoLearn-GPT: ChatGPT learns automatically. (github.com). Of course this is not the real learning for GPT, since it does not update parameters. But it is difficult to generate high quality data suitable for training. Does anyone have ideas about this?
pydoxtools
- What is the most cost-efficient way to have an embedding generator endpoint that is using an open-source embedding model? [D]
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File acquisition to S3
Also, I saw this repo in a r/python post yesterday https://github.com/Xyntopia/pydoxtools
What are some alternatives?
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RankGPT - Is ChatGPT Good at Search? LLMs as Re-Ranking Agent [EMNLP 2023 Outstanding Paper Award]
GPT-Codemaster - Automatic programming by creating Pull Requests from Issues using LLMs
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
chatGPT-cheatsheet - An ever-evolving introduction to ChatGPT, AI, and machine learning (including prompt examples and Python-built chatbots)
pandora - Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results
searchGPT - Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
gensim - Topic Modelling for Humans
funcchain - ⛓️ build cognitive systems, pythonic
rakun2 - RaKUn 2.0 - A fast keyword detection algorithm
GPTDiscord - A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
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.