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I’m starting to learn Rust (wanted to start about 10 years ago, but better late than never).
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If you’re like me, and especially in the age of large docker models and language models, your drive gets cluttered with files that take up a lot of space and are not really needed anymore (if you are the type of person who does most of your work on the cl…
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https://thinkingmachines.ai/news/introducing-inkling https://prismml.com/news/bonsai-27b
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Tried the following on hugging face: hello, this is my first time talking to you.
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I don’t know why I’m slightly obsessed with the fact that local consumer-range LLMs keep answering this question incorrectly (and in most cases also larger LLMs).
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ollama run smollm2:135m >ollama run smollm2:135m >>> does a banana jump like a salmon?
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Send the following question to your favorite Large Language Model (Claude, ChatGPT, Gemini, or whatever model you think can do the job): Someone puts a strawberry in a cup and then places the cup upside down on a table.
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After the initial impression of getting two LLMs to talk to each other, I wondered if there could be any practical use in trying them to collaborate on solving problems.
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I decided to let these two models chat with each other a bit just to see what happens.
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I asked Claude AI to generate a GraphViz code for the lineage from biblical Adam onward.