diff --git a/docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml b/docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml new file mode 100644 index 0000000000000..7c931cf41b79f --- /dev/null +++ b/docs/docs_skeleton/docs/use_cases/question_answering/_category_.yml @@ -0,0 +1 @@ +position: 0 diff --git a/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx b/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx index ce28ca3839528..0adf1130b77bf 100644 --- a/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx +++ b/docs/docs_skeleton/docs/use_cases/web_scraping/index.mdx @@ -1,7 +1,3 @@ ---- -sidebar_position: 3 ---- - # 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. diff --git a/docs/extras/use_cases/more/_category_.yml b/docs/extras/use_cases/more/_category_.yml index 5e1490ecde043..ee76dee18f126 100644 --- a/docs/extras/use_cases/more/_category_.yml +++ b/docs/extras/use_cases/more/_category_.yml @@ -1,2 +1 @@ label: 'More' -position: 1 diff --git a/docs/extras/use_cases/more/code_writing/index.mdx b/docs/extras/use_cases/more/code_writing/index.mdx index 4dd704b5a0a63..218b43851590d 100644 --- a/docs/extras/use_cases/more/code_writing/index.mdx +++ b/docs/extras/use_cases/more/code_writing/index.mdx @@ -1,7 +1,3 @@ ---- -sidebar_position: 0 ---- - # Code writing :::warning diff --git a/docs/extras/use_cases/more/self_check/index.mdx b/docs/extras/use_cases/more/self_check/index.mdx index 9880394eb5a25..a424ea43701f1 100644 --- a/docs/extras/use_cases/more/self_check/index.mdx +++ b/docs/extras/use_cases/more/self_check/index.mdx @@ -1,7 +1,3 @@ ---- -sidebar_position: 0 ---- - # 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.