Advanced LLMOps: Deploying and Managing LLMs in Production

Focused View

Soham Chatterjee and Archana Vaidheeswaran

1:45:09

0 View

01 - Introduction

01 - Deploying LLMs for production.mp4

00:53

02 - Working in Google Colab.mp4

02:09

02 - 1. Deployment Options for LLMs

01 - Overview of deployment options.mp4

04:51

02 - Deploying via APIs.mp4

05:43

03 - Using fine-tuned models for deployment.mp4

04:37

04 - Custom models Building and deployment.mp4

03:49

03 - 2. Handling API Limitations

01 - Understanding API limitations.mp4

04:19

02 - Strategies to handle endpoint uptime limitations.mp4

03:59

03 - Mitigating latency issues in LLM deployment.mp4

04:24

04 - Challenge API limitations for LLM deployment.mp4

02:03

05 - Solution API limitations for LLM deployment.mp4

02:33

04 - 3. Deployment Architecture

01 - Vector databases for LLM deployment.mp4

05:01

02 - Agents in LLM deployment.mp4

03:29

03 - Chains in LLM deployment.mp4

05:11

04 - Challenge Deploy a simple RAG application using an API.mp4

02:02

05 - Solution Deploying a simple RAG application using an API.mp4

04:28

05 - 4. Monitoring LLM Performance

01 - Introduction to LLM performance monitoring.mp4

03:44

02 - Addressing hallucinations in LLMs.mp4

04:01

06 - 5. Advanced Deployment Techniques

01 - Prompt management for LLM deployment.mp4

05:07

02 - Evaluating LLMs in production.mp4

04:45

03 - Challenge Evaluating LLM systems.mp4

01:42

04 - Solution Evaluating LLM systems.mp4

02:31

07 - 6. Security and Cost Considerations

01 - Security considerations for LLMs in production.mp4

05:16

02 - Balancing costs and performance in LLM deployment.mp4

05:36

03 - Strategies for cost-effective LLM deployment.mp4

03:40

04 - Challenge Estimating costs of an LLM API.mp4

01:56

05 - Solution Estimating costs of an LLM API.mp4

03:17

08 - Conclusion

01 - Next steps.mp4

04:03

Description

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.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Machine Learning

Soham Chatterjee and Archana Vaidheeswaran

Instructor's Courses

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.