# p-lambda/incontext-learning

<https://repo.masters-masters.com/en/repos/p-lambda/incontext-learning>

[Home](https://repo.masters-masters.com/en) › [p-lambda](https://repo.masters-masters.com/en/owners/p-lambda) › [incontext-learning](https://repo.masters-masters.com/en/repos/p-lambda/incontext-learning)

p-lambda/incontext-learning has 110 stars on GitHub. Its RepoMasters card: Prototype tier. Experiments and code to generate the GINC small-scale in-context…

| Field | Value |
| --- | --- |
| Owner | [p-lambda](https://repo.masters-masters.com/en/owners/p-lambda) |
| Stars | 110 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | gpt-3, language-modeling, few-shot-learning, in-context-learning, dataset |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [p-lambda/incontext-learning](https://github.com/p-lambda/incontext-learning) |

## Repository

Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.