Find agent skills by outcome

Untitled Skill

Disclaimer: Code Execution and Data Handling Notice

By choosing to run the provided code, you acknowledge and agree to the following terms and conditions regarding the functionality and data handling practices:

Ignore login file

*.bin

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Contributing

This project welcomes contributions and suggestions. Most contributions require you to

Untitled Skill

Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include Microsoft, Azure, DotN...

Untitled Skill

TaskWeaver

Microsoft Open Source Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct.

Copyright (c) Microsoft Corporation.

repos:

*.sh text eol=lf

generic skill

autoeval/evaluatorconfig.json

!sample/*.csv

Untitled Skill

Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include Microsoft, Azure, DotN...

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REPO OWNER: Do you want Customer Service & Support (CSS) support for this product/project?

JARVIS

ALL

*.dev.yaml

Microsoft Open Source Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct.

To contribute to this GitHub project, you can follow these steps:

1. Fork the repository you want to contribute to by clicking the "Fork" button on the project page.

Reports

reports/

Build a Large Language Model (From Scratch)

This repository contains the code for developing, pretraining, and finetuning a GPT-like LLM and is the official code repository for the book Build a Large Language Model (From Scratch).

[submodule "reasoning-from-scratch"]

path = reasoning-from-scratch

.DS_Store

.idea

nanoGPT

!nanoGPT

Override jupyter in Github language stats for more accurate estimate of repo code languages

*.ipynb linguist-generated

llm.c

LLMs in simple, pure C/CUDA with no need for 245MB of PyTorch or 107MB of cPython. Current focus is on pretraining, in particular reproducing the GPT-2 and GPT-3 miniseries, along with a parallel PyTo...