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Description
AWS CodeStar allows for the rapid development, construction, and deployment of applications within the AWS ecosystem. By offering a consolidated user interface, AWS CodeStar simplifies the management of all your software development tasks from a single location. This service enables you to establish your complete continuous delivery pipeline in just a few minutes, facilitating quicker code releases. Collaboration is made effortless with AWS CodeStar, as it provides secure teamwork capabilities and allows for straightforward management of project roles, including owners, contributors, and viewers. Each project created in AWS CodeStar features a management dashboard that integrates issue tracking, powered by Atlassian Jira Software. With this dashboard, users can efficiently monitor progress throughout the software development lifecycle, from the initial backlog to the latest code deployments. Notably, there are no extra fees associated with AWS CodeStar itself; you only incur costs for the specific AWS resources you utilize. Additionally, the intuitive design of AWS CodeStar ensures that teams of all sizes can seamlessly coordinate their efforts and enhance productivity.
Description
StarCoder and StarCoderBase represent advanced Large Language Models specifically designed for code, developed using openly licensed data from GitHub, which encompasses over 80 programming languages, Git commits, GitHub issues, and Jupyter notebooks. In a manner akin to LLaMA, we constructed a model with approximately 15 billion parameters trained on a staggering 1 trillion tokens. Furthermore, we tailored the StarCoderBase model with 35 billion Python tokens, leading to the creation of what we now refer to as StarCoder.
Our evaluations indicated that StarCoderBase surpasses other existing open Code LLMs when tested against popular programming benchmarks and performs on par with or even exceeds proprietary models like code-cushman-001 from OpenAI, the original Codex model that fueled early iterations of GitHub Copilot. With an impressive context length exceeding 8,000 tokens, the StarCoder models possess the capability to handle more information than any other open LLM, thus paving the way for a variety of innovative applications. This versatility is highlighted by our ability to prompt the StarCoder models through a sequence of dialogues, effectively transforming them into dynamic technical assistants that can provide support in diverse programming tasks.
API Access
Has API
API Access
Has API
Integrations
GitHub
AWS Cloud9
AWS CodeCommit
AWS Lambda
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
ChatGPT
CodeQwen
Git
Integrations
GitHub
AWS Cloud9
AWS CodeCommit
AWS Lambda
Amazon EC2
Amazon S3
Amazon Web Services (AWS)
ChatGPT
CodeQwen
Git
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/codestar/
Vendor Details
Company Name
BigCode
Founded
2023
Website
huggingface.co/blog/starcoder
Product Features
Continuous Delivery
Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management