This repository explores different prompt engineering techniques for chatGPT, including few-shot learning and chain-of-thought prompting. It contains examples and experiments demonstrating how to effectively leverage these methods to optimize chatGPT's performance on a variety of tasks.
active 2024-05-13 → 2024-06-03 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 22 days from 2024-05-13 to 2024-06-03. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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- Pull requests
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| gelifatsy | 1 | 1 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.