Alpaca-13B

Alpaca is a large language model developed by Stanford University's Center for Research on Foundation Models (CRFM) for academic research purposes. This AI-powered model is designed to follow instructions and generate text based on those instructions, utilizing a fine-tuned version of Meta's LLaMA 7B model.

Key features:
- Instruction-following Capability: Trained on 52,000 instruction-following demonstrations generated from OpenAI's text-davinci-003.
- Fine-tuned Architecture: Built upon the LLaMA 7B model, refined using supervised learning techniques.
- Interactive Demo: Allows users to test the model's capabilities and identify potential limitations.
- Efficient Training: Can be trained in approximately 3 hours on 8 80GB A100s, costing less than $100.
- Comparable Performance: Demonstrates similar capabilities to OpenAI's text-davinci-003, but with a smaller model size and lower training cost.

How it works:
1. The model receives an instruction or prompt from the user.
2. It processes the input using its fine-tuned language understanding capabilities.
3. The model generates text based on the instruction, drawing from its training on instruction-following demonstrations.
4. The generated output is presented to the user through the interactive demo interface.

Integrations:
LLaMA 7B model, OpenAI's text-davinci-003

Use of AI:
Alpaca utilizes artificial intelligence to understand and follow instructions, generating human-like text responses. It employs natural language processing and machine learning techniques to interpret user inputs and produce contextually appropriate outputs.

AI foundation model:
The Alpaca model is built upon the LLaMA 7B model, a large language model developed by Meta AI Research. This foundation model has been fine-tuned for specific instruction-following tasks using supervised learning techniques.

Target users:
- Academic researchers studying instruction-following language models
- Researchers investigating AI alignment with human values

How to access:
Alpaca is available as a web application with a demo interface. Users can interact with the model through this online platform. The model is free to use but is restricted to academic research purposes due to licensing constraints.

Limitations and restrictions:
The Alpaca model is not intended for commercial use due to the non-commercial license of LLaMA and the terms of use of OpenAI's text-davinci-003, which prohibit developing competing models. While the training recipe and data are available for academic research, the model itself is not open source.

Evaluation:
The model has undergone human evaluation using the self-instruct evaluation set, which covers a diverse range of user-oriented instructions including email writing, social media tasks, and productivity tools. Results indicate performance comparable to OpenAI's text-davinci-003.