github/langchain
1
0
Fork 0
mirror of https://github.com/hwchase17/langchain.git synced 2025-07-06 21:20:33 +00:00
Code Issues Packages Projects Releases Wiki Activity

fix broken link

Browse Source
This commit is contained in:
Eugene Yurtsev 2024-10-22 14:29:21 -04:00
parent b5f11d1967
commit 2912559916
2 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
docs/docs/concepts/example_selectors.mdx
View File

@ -8,7 +8,7 @@
## Overview ## Overview
One common prompting technique for achieving better performance is to include examples as part of the prompt. This is known as [few-shot prompting](/docs/concepts/few-shot-prompting). One common prompting technique for achieving better performance is to include examples as part of the prompt. This is known as [few-shot prompting](/docs/concepts/few_shot_prompting).
This gives the [language model](/docs/concepts/chat_models/) concrete examples of how it should behave. This gives the [language model](/docs/concepts/chat_models/) concrete examples of how it should behave.
Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them. Sometimes these examples are hardcoded into the prompt, but for more advanced situations it may be nice to dynamically select them.

2
docs/docs/concepts/index.mdx
View File

@ -41,7 +41,7 @@ The conceptual guide will not cover step-by-step instructions or specific implem
- **[Output Parsers](/docs/concepts/output_parsers)**: Output parsers are responsible for taking the output of a model and transforming it into a more suitable format for downstream tasks. Output parsers were primarily useful prior to the general availability of [chat models](/docs/concepts/chat_models) that natively support [tool calling](/docs/concepts/tool_calling) and [structured outputs](/docs/concepts/structured_outputs). - **[Output Parsers](/docs/concepts/output_parsers)**: Output parsers are responsible for taking the output of a model and transforming it into a more suitable format for downstream tasks. Output parsers were primarily useful prior to the general availability of [chat models](/docs/concepts/chat_models) that natively support [tool calling](/docs/concepts/tool_calling) and [structured outputs](/docs/concepts/structured_outputs).
- **[Few shot prompting](/docs/concepts/few_shot_prompting)**: Few-shot prompting is a technique used improve the performance of language models by providing them with a few examples of the task they are expected to perform. - **[Few shot prompting](/docs/concepts/few_shot_prompting)**: Few-shot prompting is a technique used improve the performance of language models by providing them with a few examples of the task they are expected to perform.
- **[Example Selectors](/docs/concepts/example_selectors)**: Example selectors are used to select examples from a dataset based on a given input. They can be used to select examples randomly, by semantic similarity, or based on some other constraints. Example selectors are used in few-shot prompting to select examples for a prompt. - **[Example Selectors](/docs/concepts/example_selectors)**: Example selectors are used to select examples from a dataset based on a given input. They can be used to select examples randomly, by semantic similarity, or based on some other constraints. Example selectors are used in few-shot prompting to select examples for a prompt.
## Glossary ## Glossary
- **[AIMessageChunk](/docs/concepts/messages#aimessagechunk)**: A partial response from an AI message. Used when streaming responses from a chat model. - **[AIMessageChunk](/docs/concepts/messages#aimessagechunk)**: A partial response from an AI message. Used when streaming responses from a chat model.