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Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. 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.
Features
- Serializable llm component to integrate prompts into your spaCy pipeline
- Modular functions to define the task (prompting and parsing) and model
- Supports open-source LLMs hosted on Hugging Face
- Easy implementation of your own functions via spaCy's registry for custom prompting, parsing and model integrations
- Integration with LangChain
- Interfaces with the APIs of OpenAI, Cohere, and Anthropic
Project Samples
Categories
Large Language Models (LLM)License
MIT LicenseFollow spacy-llm
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