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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

We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!

Resources