Alpaca

4.60

RATING

83 M+

EXPOSURE

About this tool

Name

Alpaca

Category

tools

Alpaca Software Description Alpaca is a cutting-edge instruction-following language model developed by Stanford, fine-tuned from Meta’s LLaMA 7B model. It has been trained on 52,000 instruction-following demonstrations created in the style of self-instruct using OpenAI's text-davinci-003. While it showcases many capabilities similar to advanced models, Alpaca is notably smaller and more accessible for research purposes. The model is designed to facilitate academic exploration of instruction-following AI, helping to address issues like misinformation and bias while emphasizing the importance of community engagement in its development. Alpaca is intended exclusively for academic research, with commercial use strictly prohibited due to licensing agreements and safety considerations.

Ratings and Reviews

Interesting, but Needs More Refinement

4.30

I appreciate what Alpaca is trying to achieve, but I noticed some inconsistencies in its responses. Looking forward to seeing how it evolves!

2024.8.1

Ericeer

Great for Academic Use, but Limited for General Queries

5.00

While Alpaca is great for research, it doesn't perform as well for casual conversation. It’s a valuable tool for understanding AI behaviors, though!

2024.3.16

LIdduangsj

A Revolutionary Step in AI Research

4.50

Alpaca is a fantastic model for exploring instruction-following capabilities. The ease of access and the quality of responses are impressive!

2024.4.18

Jonathan

How to use

How to Play Access the Demo: Visit the Alpaca interactive demo on the Stanford website. Input Instructions: Type in your questions or instructions for Alpaca to follow. Review Responses: Read the responses generated by Alpaca, which are designed to mimic human-like understanding and engagement. Experiment with Different Inputs: Try various prompts to explore Alpaca's capabilities and limitations. Report Behaviors: If you encounter unexpected responses or behaviors, use the provided feedback mechanism to report them, contributing to the model's ongoing improvement.

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