From Idea to Production: AI Infra for Scaling LLM Apps
AI applications have to adapt to new models, more stakeholders and complex workflows that are difficult to debug.
Add prompt management, data pipelines, RAG, cost optimization, and GPU availability into the mix, and you're in for a ride.
How do you smoothly bring LLM applications from Beta to Production? What AI infrastructure is required?
Join Guy in this exciting talk about strategies for building adaptability into your LLM applications.
We'll be diving into:
- The challenges in building Generative AI and LLM apps
- Adding adaptability into the design and deployment of LLM applications
- Build LLM applications ready for the next best model
- A never-before sneak peek into the LLM Platform by Qwak
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AI applications have to adapt to new models, more stakeholders and complex workflows that are difficult to debug.
Add prompt management, data pipelines, RAG, cost optimization, and GPU availability into the mix, and you're in for a ride.
How do you smoothly bring LLM applications from Beta to Production? What AI infrastructure is required?
Join Guy in this exciting talk about strategies for building adaptability into your LLM applications.
We'll be diving into:
- The challenges in building Generative AI and LLM apps
- Adding adaptability into the design and deployment of LLM applications
- Build LLM applications ready for the next best model
- A never-before sneak peek into the LLM Platform by Qwak
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