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jeffreyladish.com
| | cset.georgetown.edu
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| | Place to find CSET's publications, reports, and people
| | blog.adnansiddiqi.me
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| | Learn the basics of Large Language Models (LLMs) in this introduction to GenAI series. Discover how LLMs work, their architecture, and practical applications like customer support, content creation, and software development.
| | v5.chriskrycho.com
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| | Because I am pretty well persuaded at this point that "AI" obscures far more than it illuminates.
| | 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.