Advanced LLMOps: Deploying and Managing LLMs in Production
Advanced LLMOps: Deploying and Managing LLMs in Production
.MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 1h 45m | 197 MB
Instructors: Archana Vaidheeswaran, Soham Chatterjee
.MP4, AVC, 1152x720, 30 fps | English, AAC, 2 Ch | 1h 45m | 197 MB
Instructors: Archana Vaidheeswaran, Soham Chatterjee
Cutting-edge artificial intelligence technologies are changing the world. But without proper deployment and management, your applications may never reach their full potential. Worse, they could simply fail or even cause critical errors in your systems. As more organizations are incorporating large language models into their workflows, there's an increasing need for professionals skilled in deploying and monitoring these models effectively, responsibly, and securely in production environments.
In this course, learn the advanced techniques and best practices for deploying and monitoring LLMs in production environments. Explore LLM deployment options, handling API limitations, performance monitoring techniques, prompt management, addressing hallucinations, and more. Plus, learn about security and cost considerations, and test your learning with challenges and solutions.
Advanced LLMOps: Deploying and Managing LLMs in Production
