askai VS cramming

Compare askai vs cramming and see what are their differences.

askai

Your simple terminal helper - A CLI integration with OpenAI's GPT3 (by maxvfischer)

cramming

Cramming the training of a (BERT-type) language model into limited compute. (by JonasGeiping)
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askai cramming
2 6
92 1,231
- -
10.0 7.2
over 1 year ago 7 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

askai

Posts with mentions or reviews of askai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-24.

cramming

Posts with mentions or reviews of cramming. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-03.

What are some alternatives?

When comparing askai and cramming you can also consider the following projects:

KoboldAI-Client

nanoGPT - The simplest, fastest repository for training/finetuning medium-sized GPTs.

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

askai - Command Line Interface for OpenAi ChatGPT

llama.cpp - LLM inference in C/C++

english-lang - The English Programming Language

469 - The bonelord language in Tibia

aitextgen - A robust Python tool for text-based AI training and generation using GPT-2.

ChatGPT-ProBot - 🤖️ A GPTChat based GitHub robot. dialogue/CR/etc..

flan-ul2-alpaca

chatgpt-api - Node.js client for the official ChatGPT API. 🔥

extreme-bert - ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.