Explore >> Select a destination
|
You are here 
|
blog.pythagora.ai | ||
| | | | |
blog.risingstack.com
|
|
| | | | | Learn how we use GPT-based products as tools in a professional webdev setting. | |
| | | | |
isthisit.nz
|
|
| | | | | August 2024 Update: Now a solved problem. Use Structured Outputs. Large language models (LLMs) return unstructured output. When we prompt them they respond with one large string. This is fine for applications such as ChatGPT, but in others where we want the LLM to return structured data such as lists or key value pairs, a parseable response is needed. In Building A ChatGPT-enhanced Python REPL I used a technique to prompt the LLM to return output in a text format I could parse. | |
| | | | |
github.com
|
|
| | | | | GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. | |
| | | | |
roape.net
|
|
| | | [AI summary] The content is a cookie consent notice and introductory information about the Review of African Political Economy (ROAPE) journal, including subscription details. | ||
