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Mendon Kissling 2024-05-28 11:26:43 -04:00
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docs/docs/starter-projects/basic-prompting.mdx
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@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
# Basic prompting
# Basic Prompting
Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks.

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docs/docs/starter-projects/blog-writer.mdx
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@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
# Blog writer
# Blog Writer
Build a blog writer with OpenAI that uses URLs for reference content.

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docs/docs/starter-projects/memory-chatbot.mdx
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@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
# Memory chatbot
# Memory Chatbot
This flow extends the [basic prompting flow](./basic-prompting.mdx) to include chat memory for unique SessionIDs.

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docs/docs/starter-projects/vector-store-rag.mdx
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@ -4,7 +4,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
import ReactPlayer from "react-player";
import Admonition from "@theme/Admonition";
# Vector store RAG
# Vector Store RAG
Retrieval Augmented Generation, or RAG, is a pattern for training LLMs on your data and querying it.