ReAct VS FastLoRAChat

Compare ReAct vs FastLoRAChat and see what are their differences.

ReAct

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models (by ysymyth)

FastLoRAChat

Instruct-tune LLaMA on consumer hardware with shareGPT data (by bupticybee)
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ReAct FastLoRAChat
1 2
1,633 119
- -
4.8 7.2
4 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
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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ReAct

Posts with mentions or reviews of ReAct. We have used some of these posts to build our list of alternatives and similar projects.

FastLoRAChat

Posts with mentions or reviews of FastLoRAChat. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

What are some alternatives?

When comparing ReAct and FastLoRAChat you can also consider the following projects:

ragas - Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

EasyEdit - An Easy-to-use Knowledge Editing Framework for LLMs.

lora-instruct - Finetune Falcon, LLaMA, MPT, and RedPajama on consumer hardware using PEFT LoRA

LLM-Training-Puzzles - What would you do with 1000 H100s...

hyde - HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels

AutoCog - Automaton & Cognition

llama2-haystack - Using Llama2 with Haystack, the NLP/LLM framework.

llm-search - Querying local documents, powered by LLM

gpt-j-fine-tuning-example - Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

mistral-inference - Official inference library for Mistral models

alpaca-lora - Instruct-tune LLaMA on consumer hardware