mardi 21 mars 2023

Alpaca AI from Standford - article in English.

Alpaca AI can refer to different things. Do you mean :

  1. A Photoshop plugin that uses AI models for image generation1?
  2. A Stanford project that copies the ChatGPT AI for less than $6002?
  3. A strong open-source instruction-following model based on LLaMA 7B3?
  4. Please specify which one you are interested in.😊 

Alpaca - Humans đŸ€ AI Models for Image generation (

The Stanford project is about creating a new AI model called Alpaca that can follow natural language instructions12. It is based on Meta AI’s LLaMA 7B model, which is an open-source variant of GPT-334. Alpaca was trained on 52K demonstrations generated by OpenAI’s text-da-Vinci-00313 using a self-instruct process2. Alpaca can perform tasks such as summarizing articles, writing poems, generating images and more4.

Alpaca was reported to have similar performance to GPT-3 on many tasks, but with less training cost (less than $600) and more hallucinations5. However, due to potential risks of misuse and abuse, Stanford has taken Alpaca offline shortly after its release6.

What else would you like to know about Alpaca?đŸ€”

According to the search results1234, Stanford took Alpaca offline for two main reasons:

Safety: Alpaca could potentially generate harmful or misleading content that could be used for malicious purposes by bad actors. For example, it could create fake news, impersonate people, spread misinformation or propaganda, etc. Alpaca also had a tendency to hallucinate or produce inaccurate or irrelevant information that could confuse or mislead users.

Cost: Alpaca was running on expensive cloud computing resources that were not sustainable for long-term use. The researchers estimated that it would cost about $10,000 per month to keep Alpaca online.

The researchers said they wanted to share their work with the community, but they also had to balance the risks and benefits of making Alpaca publicly available.

Is there anything else you want to know about Alpaca?😊

Some examples of Alpaca’s tasks are:

Text generation: Alpaca can generate text based on a given prompt or topic. For example, it can write poems, stories, summaries, reviews, etc. It can also generate text in different styles or tones12.

Image generation: Alpaca can generate images based on a given description or caption. For example, it can draw animals, landscapes, logos, etc. It can also modify existing images by adding or removing elements13.

Chatting: Alpaca can have conversations with users on various topics. For example, it can chat about hobbies, movies, sports, etc. It can also answer questions or give advice12.

These are just some of the tasks that Alpaca can perform. There may be more that have not been explored yet.

Do you want to know more about Alpaca?😊

Alpaca and ChatGPT are both AI models that can follow natural language instructions and perform various tasks. However, they have some differences:

Alpaca is based on Meta’s LLaMA 7B model, which is an open-source variant of GPT-3. ChatGPT is based on OpenAI’s GPT-3.5 (text-davinci-003) model, which is a proprietary and restricted version of GPT-3123.

Alpaca was trained on 52K demonstrations generated by text-davinci-003 using a self-instruct process. ChatGPT was trained on a large corpus of web texts and human conversations124.

Alpaca cost less than $600 to train up, while ChatGPT cost millions of dollars to train up24.

Alpaca has similar performance to ChatGPT on many tasks, but with less training cost and more hallucinations2. Alpaca’s outputs are typically shorter than ChatGPT’s outputs, reflecting the style of the instruction-following dataset2. Alpaca is also more accurate and reliable than ChatGPT, as its outputs are more aligned with the intended meaning of the input1.

These are some of the main comparisons between Alpaca and ChatGPT.

Do you have any other questions about Alpaca?😊 ....

The genie escapes: Stanford copies the ChatGPT AI for less than $600 (

Many other companies – notably Google, Apple, Meta, Baidu and Amazon, among others – are not too far behind, and their AIs will soon be flooding into the market, attached to every possible application and device. Language models are already in your search engine if you're a Bing user, and they'll be in the rest soon enough. They'll be in your car, your phone, your TV, and waiting on the other end of the line any time you try to phone a company. Before too long, you'll be seeing them in robots.

The genie is out of the bottle, and it seems it's already incredibly easy to replicate and re-train. Hold onto your hats.

En savoir plus :

  1. 1.
  2. 2.
  3. 3.

Stanford's Alpaca AI performs similarly to the astonishing ChatGPT on many tasks – but it's built on an open-source language model and cost less than US$600 to train up. It seems these godlike AIs are already frighteningly cheap and easy to replicate.

AI is is like nukes, that genie can't be put back in the bottle. - L'IA est comme les armes nuclĂ©aires, ce gĂ©nie ne peut pas ĂȘtre remis dans la bouteille.

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