Archives/langchain
2
0
Fork 1
mirror of https://github.com/hwchase17/langchain synced 2024-11-06 03:20:49 +00:00
Code Issues Packages Projects Releases Wiki Activity

use case docs reorder (#10074)

Browse Source
This commit is contained in:
Bagatur 2023-09-05 15:11:16 -07:00 committed by GitHub
parent 334bd8ebbe
commit c732d8fffd
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
5 changed files with 1 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml Normal file
View File

@ -0,0 +1 @@
position: 0

4
docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx
View File

@ -1,7 +1,3 @@
---
sidebar_position: 3
---
# Web Scraping # Web Scraping
Web scraping has historically been a challenging endeavor due to the ever-changing nature of website structures, making it tedious for developers to maintain their scraping scripts. Traditional methods often rely on specific HTML tags and patterns which, when altered, can disrupt data extraction processes. Web scraping has historically been a challenging endeavor due to the ever-changing nature of website structures, making it tedious for developers to maintain their scraping scripts. Traditional methods often rely on specific HTML tags and patterns which, when altered, can disrupt data extraction processes.

1
docs/extras/use_cases/more/_category_.yml
View File

@ -1,2 +1 @@
label: 'More' label: 'More'
position: 1

4
docs/extras/use_cases/more/code_writing/index.mdx
View File

@ -1,7 +1,3 @@
---
sidebar_position: 0
---
# Code writing # Code writing
:::warning :::warning

4
docs/extras/use_cases/more/self_check/index.mdx
View File

@ -1,7 +1,3 @@
---
sidebar_position: 0
---
# Self-checking # Self-checking
One of the main issues with using LLMs is that they can often hallucinate and make false claims. One of the surprisingly effective ways to remediate this is to use the LLM itself to check its own answers. One of the main issues with using LLMs is that they can often hallucinate and make false claims. One of the surprisingly effective ways to remediate this is to use the LLM itself to check its own answers.