GPT-3.5 by OpenAI vs Stanford Alpaca
Overview
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Detailed Comparison
It is a model fine-tuned from the LLaMA 7B model on 52K instruction-following demonstrations. It behaves qualitatively similarly to OpenAI’s text-davinci-003, while being surprisingly small and easy/cheap to reproduce. | It is a set of models that improve on GPT-3 and can understand as well as generate natural language or code. |
Instruction-following model;
Fine-tuned from a 7B LLaMA model on 52K instruction-following data
| Can understand and generate natural language;
Can understand and generate code |
Statistics | |
GitHub Stars 30.2K | GitHub Stars - |
GitHub Forks 4.0K | GitHub Forks - |
Stacks 0 | Stacks 5 |
Followers 0 | Followers 3 |
Votes 0 | Votes 0 |
Integrations | |
| No integrations available | |
What are some alternatives to Stanford Alpaca, GPT-3.5 by OpenAI?
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