From f3e3eb242426cf9de43a0886f0d1067986f710b6 Mon Sep 17 00:00:00 2001 From: Jael Gu Date: Wed, 18 Sep 2024 13:37:19 +0800 Subject: [PATCH] Add more resources Signed-off-by: Jael Gu --- README.md | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 9676708..caefe85 100644 --- a/README.md +++ b/README.md @@ -74,4 +74,12 @@ Create the operator via the following factory method:
-**Returns:** *List[Dict]* \ No newline at end of file +**Returns:** *List[Dict]* + +# More Resources + +- [ChatGPT+ Vector database + prompt-as-code - The CVP Stack - Zilliz blog](https://zilliz.com/blog/ChatGPT-VectorDB-Prompt-as-code): Extend the capability of ChatGPT with a Vector database and prompts-as-code +- [What is Prompt as Code (Prompt Engineering)](https://zilliz.com/glossary/prompt-as-code-(prompt-engineering)): Explores what prompt engineering is, how it works in NLP, and best practices for effective prompt engineering. +- [An LLM Powered Text to Image Prompt Generation with Milvus - Zilliz blog](https://zilliz.com/blog/llm-powered-text-to-image-prompt-generation-with-milvus): An interesting LLM project powered by the Milvus vector database for generating more efficient text-to-image prompts. +- [Prompting in LangChain - Zilliz blog](https://zilliz.com/blog/prompting-langchain): Prompting is one of today's most popular and important tasks in AI app building. Learn how to use LangChain for more complex prompts. +- [What is Prompt Chaining](https://zilliz.com/glossary/prompt-chaining): Prompt chaining in NLP uses structured prompts to break a complex task into smaller subtasks. This sequential approach improves coherence and accuracy in LLM outputs. \ No newline at end of file