v0.1.1: small fixes

• Update setup.cfg
• Remove python-dotenv dependency

v0.1.0: Integrating LLMs into structured NLP pipelines

This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks, no training data required.

✨ New features

• Serializable llm component to integrate prompts into your pipeline
• Modular functions to define the task (prompting and parsing) and backend(model to use)
• Support for hosted APIs and self-hosted open-source models
• Integration with MiniChain and LangChain
• Access to OpenAI API, including GPT-4 and various GPT-3 models
• Built-in support for open-source Dolly models hosted on Hugging Face
• Usage examples for Named Entity Recognition and Text Classification
• Easy implementation of your own functions via spaCy's registry for custom prompting, parsing and model integrations

📖 Documentation and examples

• Succint example use-cases: https://github.com/explosion/spacy-llm/blob/v0.1.0/README.md#-usage
• Full examples: https://github.com/explosion/spacy-llm/tree/v0.1.0/usage_examples
• API documentation: https://github.com/explosion/spacy-llm/tree/v0.1.0/#-api

👥 Contributors

@adrianeboyd, @bdura, @honnibal, @ines, @kabirkhan, @kadarakos, @koaning, @ljvmiranda921, @rmitsch, @shadeMe, @svlandeg

v0.1.0-a4

Final version before release

v0.1.0-a3

consistently use = in config strings (#44)

v0.1.0-a2

Refactored registry functions.

v0.1.0-a1

Update version in setup.cfg. (#9)