v0.5.0: Improved user API and novel Chain-of-Thought prompting for more accurate NER

✨ New features and improvements

• NEW: More accurate Chain-of-Thought (CoT) NER prompting with spacy.NER.v3(#180)
• NEW: Task-specific component factories for llm_ner , llm_spancat, llm_rel,llm_textcat , llm_sentiment, llm_summarization(#243, #283)
• NEW: Implementation of add_label functionality to more easily work with an llm component directly in Python code and not (necessarily) through the config system (#277)
• New v2 model versions for the OpenAI models that set reasonable defaults for temperature and max_tokens (#236)
• Functionality to ignore occassional blocking errors from Cohere (#233)
• Support for Pydantic v1 and v2 (#261, #275)
• Internal refactoring, including renaming of v1 Jinja templates (#242)
• Empty the cache of torch.cuda in between calls (#242)
• Various improvements to the test suite and CI

🔴 Bug fixes

• Fix Anthropic chat endpoints (#230)

⚠️ Backwards incompatibilities

• Though significant refactoring of internal modules has happened, this release should not introduce any backwards incompatibilities for user-facing functionality.
• Check our migration guide if you want to update the SpanCat or NER task from v1 or v2 to v3.

📖 Documentation and examples

• Updated usage documentation
• Updated API documentation
• New Chain-of-Though example with GPT 3.5
• New textcat example with Dolly

👥 Contributors

@adrianeboyd, @honnibal, @ines, @kabirkhan, @ljvmiranda921, @rmitsch, @svlandeg, @victorialslocum, @vinbo8