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www.markhw.com | ||
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robr.dev
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| | | | | Three things from this week. I tried out three different ways to use an LLM on my home PC this week. A Large Language Model (LLM) is the kind of ML model that runs inside of ChatGPT and other similar popular chatbots. Running on my home PC lets me see just what they can do and whether they're useful to me. While there have been a whole lot of different models emerging lately, there are also a few different frontends or user interfaces that can load the model and perform inferences. | |
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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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rosslazer.com
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| | | | | Using GPT to emulate my writing style | |
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www.confident-ai.com
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| | | In this article, you'll teach you about LLM regulations and how to maintain the safety of your LLM applications. | ||
