Alpaca

Alpaca

Stanford Center for Research on Foundation Models (CRFM)
MAI-Code-1-Flash

MAI-Code-1-Flash

Microsoft AI
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About

Instruction-following models such as GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have become increasingly powerful. Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies: they can generate false information, propagate social stereotypes, and produce toxic language. To make maximum progress on addressing these pressing problems, it is important for the academic community to engage. Unfortunately, doing research on instruction-following models in academia has been difficult, as there is no easily accessible model that comes close in capabilities to closed-source models such as OpenAI’s text-DaVinci-003. We are releasing our findings about an instruction-following language model, dubbed Alpaca, which is fine-tuned from Meta’s LLaMA 7B model.

About

MAI-Code-1-Flash is a Microsoft coding model built for fast, efficient assistance in everyday developer workflows. Built end-to-end by Microsoft using clean and appropriately licensed data, the model is rolling out to GitHub Copilot individual users in Visual Studio Code through the model picker and the default Auto picker. It is designed around the goal of delivering high-quality coding help with better efficiency, helping engineering teams write better code faster through a lightweight, agentic model integrated into GitHub Copilot and VS Code. MAI-Code-1-Flash was trained directly with GitHub Copilot production harnesses, allowing it to interact with surrounding tools and systems in real developer environments rather than being optimized only for static benchmarks. It supports agentic coding, strong instruction-following across single-turn and multi-turn scenarios, repository question answering, refactoring, telemetry-grounded tasks, and adaptive thinking.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Organizations and researchers interested in a powerful Large Language Model

Audience

Developers and engineering teams that need a fast, efficient coding model for GitHub Copilot workflows, refactoring, repository Q&A, and agentic software engineering tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Stanford Center for Research on Foundation Models (CRFM)
United States
crfm.stanford.edu/2023/03/13/alpaca.html

Company Information

Microsoft AI
Founded: 2024
United States
microsoft.ai/news/introducingmai-code-1-flash/

Alternatives

Falcon-40B

Falcon-40B

Technology Innovation Institute (TII)

Alternatives

LTM-1

LTM-1

Magic AI
MPT-7B

MPT-7B

MosaicML
Dolly

Dolly

Databricks
StarCoder

StarCoder

BigCode

Categories

Categories

Integrations

BERT
ChatGPT
Dolly
GPT-4
GitHub Copilot
Llama
Ludwig
Microsoft Azure
Microsoft Foundry
Stable LM
Visual Studio Code

Integrations

BERT
ChatGPT
Dolly
GPT-4
GitHub Copilot
Llama
Ludwig
Microsoft Azure
Microsoft Foundry
Stable LM
Visual Studio Code
Claim Alpaca and update features and information
Claim Alpaca and update features and information
Claim MAI-Code-1-Flash and update features and information
Claim MAI-Code-1-Flash and update features and information