diff --git a/README.md b/README.md index 51d5910d..381235b9 100644 --- a/README.md +++ b/README.md @@ -32,20 +32,20 @@ This package integrates Large Language Models (LLMs) into [spaCy](https://spacy. - **[Mistral](https://huggingface.co/mistralai)** - Integration with [LangChain](https://github.com/hwchase17/langchain) 🦜️🔗 - all `langchain` models and features can be used in `spacy-llm` - Tasks available out of the box: - - Named Entity Recognition - - Text classification - - Lemmatization - - Relationship extraction - - Sentiment analysis - - Span categorization - - Summarization - - Entity linking - - Translation - - Raw prompt execution for maximum flexibility + - [Named Entity Recognition](https://spacy.io/api/large-language-models#ner) + - [Text classification](https://spacy.io/api/large-language-models#textcat) + - [Lemmatization](https://spacy.io/api/large-language-models#lemma) + - [Relationship extraction](https://spacy.io/api/large-language-models#rel) + - [Sentiment analysis](https://spacy.io/api/large-language-models#sentiment) + - [Span categorization](https://spacy.io/api/large-language-models#spancat) + - [Summarization](https://spacy.io/api/large-language-models#summarization) + - [Entity linking](https://spacy.io/api/large-language-models#nel) + - [Translation](https://spacy.io/api/large-language-models#translation) + - [Raw prompt execution for maximum flexibility](https://spacy.io/api/large-language-models#raw) - Soon: - Semantic role labeling -- Easy implementation of **your own functions** via [spaCy's registry](https://spacy.io/api/top-level#registry) for custom prompting, parsing and model integrations -- Map-reduce approach for splitting prompts too long for LLM's context window and fusing the results back together +- Easy implementation of **your own functions** via [spaCy's registry](https://spacy.io/api/top-level#registry) for custom prompting, parsing and model integrations. For an example, see [here](https://spacy.io/usage/large-language-models#example-4). +- [Map-reduce approach](https://spacy.io/api/large-language-models#task-sharding) for splitting prompts too long for LLM's context window and fusing the results back together ## 🧠 Motivation