Fine Tuning Llama3 with ReFT and Cisco IOS XE Running Configuration

Fine Tuning Llama3 with ReFT and Cisco IOS XE Running Configuration
🚀 Dive into the cutting-edge world of AI fine-tuning with our latest video, "Fine Tuning Llama3 with ReFT and Cisco IOS XE Running Configuration"! 🌟
Discover the revolutionary Representational Fine-Tuning (ReFT) approach from Stanford that transforms AI fine-tuning from a process taking tens of hours to mere minutes or a few hours, delivering exceptional results. 🕒✨
In this exciting tutorial, we’ll show you how to:
✅ Create an AI that responds with emojis only, in just minutes!
✅ Harness the power of ReFT for rapid and effective fine-tuning.
✅ Utilize a free, local, and open-source approach for your AI projects.
✅ Leverage wandb (Weights and Biases) to visualize fine-tuning and hardware performance in cloud dashboards.
✅ Fine-tune Llama3 with Cisco IOS XE running configuration data, making your model an expert in device configurations.
✅ Employ Retrieval-Augmented Generation (RAG) to generate datasets with questions and correct answers using Llama3.
This is not just another AI video; it's a game-changer for anyone looking to elevate their AI capabilities. Get ready to explore the future of AI fine-tuning, where speed meets precision, and innovation knows no bounds. 🚀🔧💡
🔗 Transform the way you approach AI fine-tuning! Don't forget to like, share, and subscribe for more cutting-edge AI content. 🌐📈
pyReFT Github:
github.com/sta...
ReFT Paper
nlp.stanford.e...
Cisco DevNet IOS XE Sandbox ReFT:
github.com/aut...
huggingface.co...
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