AutoLearn-GPT VS lora-instruct

Compare AutoLearn-GPT vs lora-instruct and see what are their differences.

lora-instruct

Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA (by leehanchung)
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AutoLearn-GPT lora-instruct
1 1
24 97
- -
6.5 7.0
12 months ago 4 months ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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AutoLearn-GPT

Posts with mentions or reviews of AutoLearn-GPT. We have used some of these posts to build our list of alternatives and similar projects.
  • Can GPT improve itself?
    1 project | /r/AutoGPT | 26 Apr 2023
    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?

lora-instruct

Posts with mentions or reviews of lora-instruct. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-09.
  • Training a LoRA with MPT Models
    3 projects | /r/LocalLLaMA | 9 May 2023
    Hi, i have created custom data, same format as alphachas json file. And fine tuned mpt-7b-instruct using this link https://github.com/leehanchung/lora-instruct I have also used your patch, the fine tuning got successfull and also the loss got decreased but when am trying to make prediction using the fine tuned model am not getting correct output even on the trained data, it's generating output with lots of nonsense

What are some alternatives?

When comparing AutoLearn-GPT and lora-instruct you can also consider the following projects:

SuperAGI - <⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

FastLoRAChat - Instruct-tune LLaMA on consumer hardware with shareGPT data

GPT-Codemaster - Automatic programming by creating Pull Requests from Issues using LLMs

LMOps - General technology for enabling AI capabilities w/ LLMs and MLLMs

chatGPT-cheatsheet - An ever-evolving introduction to ChatGPT, AI, and machine learning (including prompt examples and Python-built chatbots)

mpt-lora-patch - Patch for MPT-7B which allows using and training a LoRA

searchGPT - Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.

Roy - Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

funcchain - ⛓️ build cognitive systems, pythonic

punica - Serving multiple LoRA finetuned LLM as one

GPTDiscord - A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!

py2gpt - Convert Python code into JSON consumable by OpenAI's function API.