Day 27: Practical Implementation Fine Tuning Custom Data With Google Gemma Model

DataSciLearn ๐Ÿ“Š ยท Intermediate ยท๐Ÿง  Large Language Models ยท1y ago

About this lesson

โ˜•Buy Me a Coffee: https://buymeacoffee.com/datascilearn GitHub Link: https://github.com/jitender-insights/DataSciLearn-Generative-AI-Master-Course/tree/main/Fine-Tuning ๐Ÿ”— Community Links: ๐Ÿ“ท Instagram: https://www.instagram.com/datascilearn/ ๐Ÿ“ฃ YouTube: https://www.youtube.com/@datascilearn ๐Ÿ“บ Telegram: https://t.me/datascilearn ๐Ÿ’ผ LinkedIn: https://www.linkedin.com/company/datascilearn Stay tuned for more in-depth AI, ML, and Data Science content! ๐Ÿ™Œ #LLM #FineTuning #GenerativeAI #QLoRA #Quantization #DataScience #AI

Original Description

โ˜•Buy Me a Coffee: https://buymeacoffee.com/datascilearn GitHub Link: https://github.com/jitender-insights/DataSciLearn-Generative-AI-Master-Course/tree/main/Fine-Tuning ๐Ÿ”— Community Links: ๐Ÿ“ท Instagram: https://www.instagram.com/datascilearn/ ๐Ÿ“ฃ YouTube: https://www.youtube.com/@datascilearn ๐Ÿ“บ Telegram: https://t.me/datascilearn ๐Ÿ’ผ LinkedIn: https://www.linkedin.com/company/datascilearn Stay tuned for more in-depth AI, ML, and Data Science content! ๐Ÿ™Œ #LLM #FineTuning #GenerativeAI #QLoRA #Quantization #DataScience #AI
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