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Tools, links and resources for my O’Reilly Pearson Live Training Event on Choosing the Right LLM for your business problem.
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In this final part of my guide to simulating yourself from your text messages, we take your fine-tuned model and run Text Generation.
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In part 4 of my guide to fine-tuning an LLM on your text message history, we train using QLoRA and experiment with hyper-parameters.
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In part 3 of my guide to fine-tuning an LLM on your text messages, we curate the dataset, encrypt and upload to Hugging Face.
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In part 2 of my guide to fine-tuning an LLM on your text messages, we use our CSV downloads to read, organize and investigate our data.
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I recently wrote about my holiday project to fine-tune a pre-trained Llama 2 model on my entire 240,000 text message history, with pleasingly good results. And now, I present a step-by-step guide so that you, too, can have a substantive conversation with yourself… There are three prerequisites: There is a fourth requirement: patience and enthusiasm!…
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I’m far from the first to think of this. Several people — perhaps inspired by creepy Black Mirror episodes — have tried to fine-tune an LLM on their SMS or WhatsApp history in an effort to create a simulation of themselves. Generally results have disappointed; conversations tend to be mundane (it seems we don’t share…
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Each year, hundreds of thousands of people with brains like mine participate in a an online event called the Advent of Code. For the uninitiated, it’s a series of increasingly thorny coding puzzles that pay homage to an Advent Calendar by revealing a daily treat, in the form of a new challenge, from December 1st…
