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debugti.me | ||
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www.graphcore.ai
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| | | | | This powerful open-source chatbot has no usage restrictions, so is perfect for commercial applications. Try it now on Paperspace, powered by IPUs. | |
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andys.page
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isthisit.nz
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| | | | | 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. | |
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www.shuttle.rs
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| | | What makes Rust worth using for backend web services? | ||
