ama_prompting | Ask Me Anything language model

by HazyResearch Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | ama_prompting Summary

ama_prompting is a Python library. ama_prompting has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Ask Me Anything language model prompting

Support

Quality

Security

License

Reuse

Support

ama_prompting has a low active ecosystem.

It has 451 star(s) with 36 fork(s). There are 23 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 2 have been closed. On average issues are closed in 49 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ama_prompting is current.

Quality

ama_prompting has no bugs reported.

Security

ama_prompting has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ama_prompting is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ama_prompting releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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ama_prompting Key Features

No Key Features are available at this moment for ama_prompting.

ama_prompting Examples and Code Snippets

No Code Snippets are available at this moment for ama_prompting.

Community Discussions

No Community Discussions are available at this moment for ama_prompting.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ama_prompting

Here we will setup the AMA code (prompting models for tasks), weak supervision code (aggregating predictions), and Manifest code (tooling for easily loading and running the models).

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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