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InternTA
API documentation for the Synthetic Biology Teaching Assistant powered by InternLM2
Overview
InternTA is a teaching assistant based on the InternLM2 large language model, specifically designed to help students learn the “Synthetic Biology” course. The API allows you to integrate InternTA’s capabilities into your own applications.
Key Features
Synthetic Biology Expertise
Specialized knowledge from the “Synthetic Biology” textbook and related materials
Guided Learning
Provides hints and guidance rather than direct answers to promote independent thinking
Cross-disciplinary Knowledge
Combines biology, chemistry, engineering, and computer science perspectives
Interactive Teaching
Engaging dialogue-based learning experience
Getting Started
Learn how to integrate InternTA into your applications:
API Reference
Explore the complete API documentation
Authentication
Learn about the authentication process
Quick Start
Get started with example code and tutorials
Demo Application
Try out the live demo
Resources
Model Repository:
OpenXLab
Demo Video:
Google Drive
Online Demo:
Powered by Coze
Support
If you need help or have questions about the API, please:
Check the
API Reference
documentation
Visit our
GitHub repository
for issues
Contact our support team at
dev@kongfoo.cn
Quickstart
Assistant
Responses are generated using AI and may contain mistakes.