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๐งต 1/ Vector stores & embeddings may be the talk of the town, but there's more to explore! Discover how to fine-tune LLaMA, an open-source language model, to make it sound like Homer Simpson! You can even apply this method to other characters! ๐ฉ๐บ Shout out to @bfirsh for this! 
@bfirsh 2/ The process starts by using a dataset containing scripts from The Simpsons TV show (Seasons 1-12) obtained from Kaggle. With ~60k lines of dialog and 1.1M tokens, it's time to train LLaMA to reproduce the voice of the characters. ๐
@bfirsh 3/ To make LLaMA speak like a character, the dataset is parsed into scenes and prompts are generated. This is done by taking the previous lines in the scene, the character with the next line, and that line. The model is then prompted to complete the line in context. ๐ญ
@bfirsh 4/ The training process is similar to that of Alpaca, which was covered in their previous blog post. After training, you can generate scripts using cog predict commands. It's a surprisingly quick process thanks to LLaMA being open-source! ๐ #Alpaca
@bfirsh 5/ The results? An impressive Homer Simpson bot that occasionally delivers genuinely funny lines. This demonstrates the power of fine-tuning open-source language models to create character-specific voices. ๐ฌ
@bfirsh 6/ This experiment showcases the potential of fine-tuning open-source language models to create unique voices for characters. Imagine the possibilities for content creation, gaming, and entertainment! ๐ฎ๐ฌ Can't wait to see what the community builds!
@bfirsh 8/ Want to try it yourself? Check out @bfirsh's blog post for a detailed walkthrough on how to fine-tune LLaMA to speak like Homer Simpson or any other character. D'oh! ๐ฉ #DIY replicate.com/blog/fine-tuneโฆ
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