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Fine-tuning Llama 2 on RunPod

Agenda

Learn how to fine-tune open source models like Llama-2 to your specific applications and use cases. Here’s a sneak peek of what we’ll cover in the session:

Fine-Tuning Insights: Get hands-on experience on fine-tuning Llama-2 models for real-world tasks.
RAG vs. Fine-Tuning: Explore different techniques to adapt Llama-2 effectively.
Best Practices: Learn how to rigorously evaluate your fine-tuned models for top performance.

Whether you’re an engineer looking to customize LLMs, a startup working with AI, or a company seeking privacy-preserving AI, this masterclass is for you.

Benefits of fine-tuning Llama-2

✔ Optimize AI for your unique use cases
✔ Improve performance on specific tasks
✔ Enhance privacy and security
✔ Gain a competitive advantage

Don’t miss out on this opportunity to learn from industry professionals and gain the skills you need to fine-tune AI models for your specific needs!

Zaid Ahmed-ChatGPT-Llama-LLMs-Generative AI
Zaid Ahmed

Data Scientist | 5x Azure Solution Architect

Zaid Ahmed is a talented full-stack data scientist. His proficiency in software engineering and data science, honed through his distinguished career at Data Science Dojo is exceptional. His comprehensive knowledge and hands-on experience in machine learning and data science make him a great mentor for anyone eager to delve into the realm of conversational AI.

Resources

Resources