explosion/spaCy
1
1
Fork 0
mirror of https://github.com/explosion/spaCy.git synced 2025-07-10 16:22:29 +03:00
Code Issues Packages Projects Releases Wiki Activity

fix typo's

Browse Source
This commit is contained in:
Sofie Van Landeghem 2023-12-29 21:28:03 +01:00 committed by GitHub
parent fbf255f891
commit 30d7c917be
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 5 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

10
website/docs/api/large-language-models.mdx
View File

@ -225,7 +225,7 @@ All tasks are registered in the `llm_tasks` registry.
dataset across multiple storage units for easier processing and lookups. In dataset across multiple storage units for easier processing and lookups. In
`spacy-llm` we use this term (synonymously: "mapping") to describe the splitting `spacy-llm` we use this term (synonymously: "mapping") to describe the splitting
up of prompts if they are too long for a model to handle, and "fusing" up of prompts if they are too long for a model to handle, and "fusing"
(synonymously: "reducing") to describe how the model responses for several shars (synonymously: "reducing") to describe how the model responses for several shards
are merged back together into a single document. are merged back together into a single document.
Prompts are broken up in a manner that _always_ keeps the prompt in the template Prompts are broken up in a manner that _always_ keeps the prompt in the template
@ -239,10 +239,10 @@ prompt template for our fictional, sharding-supporting task looks like this:
``` ```
Estimate the sentiment of this text: Estimate the sentiment of this text:
"{text}" "{text}"
Estimated entiment: Estimated sentiment:
``` ```
Depening on how tokens are counted exactly (this is a config setting), we might Depending on how tokens are counted exactly (this is a config setting), we might
come up with `n = 12` tokens for the number of tokens in the prompt come up with `n = 12` tokens for the number of tokens in the prompt
instructions. Furthermore let's assume that our `text` is "This has been instructions. Furthermore let's assume that our `text` is "This has been
amazing - I can't remember the last time I left the cinema so impressed." - amazing - I can't remember the last time I left the cinema so impressed." -
@ -259,7 +259,7 @@ _(Prompt 1/2)_
``` ```
Estimate the sentiment of this text: Estimate the sentiment of this text:
"This has been amazing - I can't remember " "This has been amazing - I can't remember "
Estimated entiment: Estimated sentiment:
``` ```
_(Prompt 2/2)_ _(Prompt 2/2)_
@ -267,7 +267,7 @@ _(Prompt 2/2)_
``` ```
Estimate the sentiment of this text: Estimate the sentiment of this text:
"the last time I left the cinema so impressed." "the last time I left the cinema so impressed."
Estimated entiment: Estimated sentiment:
``` ```
The reduction step is task-specific - a sentiment estimation task might e. g. do The reduction step is task-specific - a sentiment estimation task might e. g. do