doccano/doccano-mini
Annotation meets Large Language Models (ChatGPT, GPT-3 and alike).
This tool helps machine learning engineers and data scientists quickly build and test applications that use large language models. You input a small set of labeled text examples, use an interactive interface to annotate them, and then receive a configuration file ready for use with LangChain to make predictions on new, unseen text. It's designed for individuals developing text-based AI features.
No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly prototype and evaluate text classification, question answering, summarization, or named entity recognition models with minimal labeled data.
Not ideal if you are a business user looking for a no-code solution to deploy a fully-fledged AI application without any development.
Stars
58
Forks
7
Language
Python
License
MIT
Category
Last pushed
Apr 04, 2023
Commits (30d)
0
Dependencies
7
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/doccano/doccano-mini"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
langchain-ai/langchain-google
🦜🔗 LangChain interfaces to Google's suite of AI products (Gemini & Vertex AI)
nicolay-r/bulk-chain
A no-string API framework for deploying schema-based reasoning into third-party apps
MIDORIBIN/langchain-gpt4free
LangChain x gpt4free
dataprofessor/langchain-quickstart
Build your first LLM powered app with Langchain and Streamlit.
Ngz91/Eunomia
Analyze your code locally using a GPT LLM.