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rosslazer.com | ||
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simonwillison.net
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| | | | | Anthropic have added one of the most important missing features to Claude Artifacts: apps built as artifacts now have the ability to run their own prompts against Claude via a ... | |
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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.markhw.com
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| | | | | [AI summary] This blog post discusses integrating R and Python for seamless data analysis using OpenAI's GPT models to extract information from Wikipedia about film directors' roles in Oscar-winning films. | |
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piotrminkowski.com
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| | | This article will show you how to use Spring AI support for Java function calling with the OpenAI chat model. | ||
