logo
Browse Source

Add more resources

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
main
Jael Gu 2 days ago
parent
commit
f3e3eb2424
  1. 10
      README.md

10
README.md

@ -74,4 +74,12 @@ Create the operator via the following factory method:
<br /> <br />
**Returns:** *List[Dict]*
**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.
Loading…
Cancel
Save