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Add more links to spaCy docs #421

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Jan 23, 2024
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Add more links to spaCy docs #421

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Add more links to spaCy docs
svlandeg Jan 19, 2024
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svlandeg Jan 19, 2024
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24 changes: 12 additions & 12 deletions README.md
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Expand Up @@ -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)
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- [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

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