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shorten task-specific factory list

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svlandeg 2023-09-08 10:51:59 +02:00
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website/docs/api/large-language-models.mdx
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@ -19,14 +19,8 @@ prototyping** and **prompting**, and turning unstructured responses into
An LLM component is implemented through the `LLMWrapper` class. It is accessible An LLM component is implemented through the `LLMWrapper` class. It is accessible
through a generic `llm` through a generic `llm`
[component factory](https://spacy.io/usage/processing-pipelines#custom-components-factories) [component factory](https://spacy.io/usage/processing-pipelines#custom-components-factories)
as well as through task-specific component factories: as well as through task-specific component factories: `llm_ner`, `llm_spancat`, `llm_rel`,
`llm_textcat`, `llm_sentiment` and `llm_summarization`.
- `llm_ner`
- `llm_spancat`
- `llm_rel`
- `llm_textcat`
- `llm_sentiment`
- `llm_summarization`
### LLMWrapper.\_\_init\_\_ {id="init",tag="method"} ### LLMWrapper.\_\_init\_\_ {id="init",tag="method"}