Explore >> Select a destination
|
You are here 
|
mydeveloperplanet.com | ||
| | | | |
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. | |
| | | | |
weisser-zwerg.dev
|
|
| | | | | Setting Up AI Models on Older Hardware - A Beginner's Guide to Running Local LLMs with Limited Resources | |
| | | | |
hypernephelist.com
|
|
| | | | | In recent projects, I've been exploring the potential of large language models (LLMs) not just to generate code snippets but also to execute them safely in i... | |
| | | | |
jilliancyork.com
|
|
| | | [AI summary] A writer and activist discusses the importance of secure communication using Signal, reflecting on privacy and digital security practices. | ||
