askai VS stanford_alpaca

Compare askai vs stanford_alpaca and see what are their differences.

askai

Command Line Interface for OpenAi ChatGPT (by yudax42)

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data. (by tatsu-lab)
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askai stanford_alpaca
1738 108
86 28,602
- 1.4%
10.0 2.0
over 1 year ago 16 days ago
TypeScript Python
- 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.
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 2024-03-24.
  • Exploring the Frontiers of AI: An In-Depth Look at ChatGPT-4
    2 projects | news.ycombinator.com | 24 Mar 2024
  • The best AI productivity tools in 2024
    2 projects | dev.to | 15 Mar 2024
    As the dust settles on last year's AI storm, ChatGPT is just one of hundreds of powerful tools in the game. From new intelligent features on apps you already love, to entirely new platforms with jaw-dropping functionality, there's an AI-powered solution to nearly every productivity problem.
  • How I stay (more) focused with ADHD
    3 projects | dev.to | 24 Feb 2024
    Recently I started using ChatGPT to generate the initial solution or brainstorm ideas. Whether it’s a piece of code or a letter I need to write.
  • Using Chat GPT To Generate Datasets 🤖
    2 projects | dev.to | 21 Feb 2024
    This is extremely powerful, as you can describe what real data looks like in your prompt, and Chat GPT will generate data with realistic content in fields like descriptions, titles, tags, etc.
  • The New Computer: Use Serverless to Build Your First AI-OS App
    3 projects | dev.to | 1 Feb 2024
    You will need 1) a ChatGPT Plus or Teams account and 2) a Vercel account to build along with me.
  • OpenAI has Text to Speech Support now!
    5 projects | dev.to | 27 Jan 2024
    For a long time, I was looking for something exciting to work on and this was it. The fact that ChatCraft already supported Speech to Text transcription using Whisper, which is another one of OpenAI's models with unique capabilities, integrating Text-to-Speech would essentially turn our application into something like an Amazon Alexa but with a brain powered the same LLM that ChatGPT uses.
  • AI just made Frontend Development OBSOLETE!
    2 projects | dev.to | 23 Jan 2024
    Today we released a custom GPT. It's an internal GPT, and we won't give you access to it. It's the beginning of porting our entire back office infrastructure, making it possible for us to manage and administrate our entire company using ChatGPT.
  • Beginning the Journey into ML, AI and GenAI on AWS
    2 projects | dev.to | 22 Jan 2024
    Some examples GenAI: One of the most well-known examples of GenAI is ChatGPT, launched by OpenAI, which became wildly popular overnight and galvanized public attention. Another model from OpenAI, called text-embedding-ada-002, is specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM). However, it’s important to note that generative AI creates artifacts that can be inaccurate or biased, making human validation essential and potentially limiting the time it saves workers. Therefore, end users should be realistic about the value they are looking to achieve, especially when using a service as is.
  • Generate a CRUD API using Low-Code and No-Code
    2 projects | dev.to | 18 Jan 2024
    There's been a lot of hype about AI stealing our jobs as software developers lately. I wrote about it yesterday, where my argument was that AI will save your job. If you don't believe me, please go to ChatGPT and tell it to create an app for you.
  • Supercharge Your Mobile Dev Skills: 10 Essential Tools for Max Efficiency
    10 projects | dev.to | 14 Jan 2024
    ChatGPT: A great place to find answers when you encounter problems.

stanford_alpaca

Posts with mentions or reviews of stanford_alpaca. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-19.
  • How Open is Generative AI? Part 2
    8 projects | dev.to | 19 Dec 2023
    Alpaca is an instruction-oriented LLM derived from LLaMA, enhanced by Stanford researchers with a dataset of 52,000 examples of following instructions, sourced from OpenAI’s InstructGPT through the self-instruct method. The extensive self-instruct dataset, details of data generation, and the model refinement code were publicly disclosed. This model complies with the licensing requirements of its base model. Due to the utilization of InstructGPT for data generation, it also adheres to OpenAI’s usage terms, which prohibit the creation of models competing with OpenAI. This illustrates how dataset restrictions can indirectly affect the resulting fine-tuned model.
  • Ask HN: AI/ML papers to catch up with current state of AI?
    3 projects | news.ycombinator.com | 15 Dec 2023
  • Fine-tuning LLMs with LoRA: A Gentle Introduction
    3 projects | dev.to | 22 Aug 2023
    In this article, we're going to experiment with LoRA and fine-tune Llama Alpaca using commercial hardware.
  • Creating a new Finetuned model
    3 projects | /r/LocalLLaMA | 11 Jul 2023
    Most papers I did read showed at least a thousand, even 10000 at several cases, so I assumed that to be the trend in the case of Low rank adapter(PEFT) training.(source: [2305.14314] QLoRA: Efficient Finetuning of Quantized LLMs (arxiv.org) , Stanford CRFM (Alpaca) and the minimum being openchat/openchat · Hugging Face ; There are a lot more examples)
  • Bye bye Bing
    5 projects | /r/ChatGPT | 30 Jun 2023
  • The idea maze for AI startups (2015)
    2 projects | news.ycombinator.com | 28 Jun 2023
    I think there's a new approach for “How do you get the data?” that wasn't available when this article was written in 2015. The new text and image generative models can now be used to synthesize training datasets.

    I was working on an typing autocorrect project and needed a corpus of "text messages". Most of the traditional NLP corpuses like those available through NLTK [0] aren't suitable. But it was easy to script ChatGPT to generate thousands of believable text messages by throwing random topics at it.

    Similarly, you can synthesize a training dataset by giving GPT the outputs/labels and asking it to generate a variety of inputs. For sentiment analysis... "Give me 1000 negative movie reviews" and "Now give me 1000 positive movie reviews".

    The Alpaca folks used GPT-3 to generate high-quality instruction-following datasets [1] based on a small set of human samples.

    Etc.

    [0] https://www.nltk.org/nltk_data/

    [1] https://crfm.stanford.edu/2023/03/13/alpaca.html

  • [D] High-quality, open-source implementations of LLMs
    6 projects | /r/MachineLearning | 22 May 2023
    Alpaca [GitHub]
  • please 0.1.0 released: let GPT-4 remember CLI args
    2 projects | /r/rust | 21 May 2023
    Now if only this could be used offline, eg. with alpaca https://github.com/tatsu-lab/stanford_alpaca
  • Is there a Chatgpt (or other LLMs) powered application in the field of cybersecurity/privacy for end users/b2c?
    2 projects | /r/privacy | 19 May 2023
    If you have a strong enough computer, there is Alpaca and llama.cpp which are both open-source. They also have the best privacy feature of all: to be able to be ran locally offline on your computer. I believe there are more foss LLMs out there too but idr.
  • Does ChatGPT suck at programming for everyone or just for me?
    2 projects | /r/ChatGPT | 15 May 2023
    Are you aware that you can run a pretrained LLM on just 8gb of ram with a single x86 cpu?

What are some alternatives?

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

ChatGPT - 🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

alpaca-lora - Instruct-tune LLaMA on consumer hardware

ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

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

gpt-4chan-model

openai-cookbook - Examples and guides for using the OpenAI API

ai-cli - Get answers for CLI commands from ChatGPT right from your terminal

GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ

Alpaca-Turbo - Web UI to run alpaca model locally

Auto-GPT - An experimental open-source attempt to make GPT-4 fully autonomous. [Moved to: https://github.com/Significant-Gravitas/Auto-GPT]

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