LinkedIn - Advanced LLMOps Deploying and Managing LLMs in Production

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197.11 MB | 00:04:28 | mp4 | 1152X720  | 1.6:1
Genre:eLearning |Language:English

Files Included :
01 - Deploying LLMs for production  (5.59 MB)
02 - Working in Google Colab  (4.93 MB)
01 - Overview of deployment options  (8.25 MB)
02 - Deploying via APIs  (10.13 MB)
03 - Using fine-tuned models for deployment  (7.62 MB)
04 - Custom models Building and deployment  (6.15 MB)
01 - Understanding API limitations  (7.61 MB)
02 - Strategies to handle endpoint uptime limitations  (6.89 MB)
03 - Mitigating latency issues in LLM deployment  (8.05 MB)
04 - Challenge API limitations for LLM deployment  (3.16 MB)
05 - Solution API limitations for LLM deployment  (5.98 MB)
01 - Vector databases for LLM deployment  (8.35 MB)
02 - Agents in LLM deployment  (5.88 MB)
03 - Chains in LLM deployment  (9.79 MB)
04 - Challenge Deploy a simple RAG application using an API  (3.18 MB)
05 - Solution Deploying a simple RAG application using an API  (11.44 MB)
01 - Introduction to LLM performance monitoring  (6.19 MB)
02 - Addressing hallucinations in LLMs  (7.04 MB)
01 - Prompt management for LLM deployment  (7.55 MB)
02 - Evaluating LLMs in production  (8.12 MB)
03 - Challenge Evaluating LLM systems  (2.58 MB)
04 - Solution Evaluating LLM systems  (8.94 MB)
01 - Security considerations for LLMs in production  (9.55 MB)
02 - Balancing costs and performance in LLM deployment  (10.32 MB)
03 - Strategies for cost-effective LLM deployment  (6.27 MB)
04 - Challenge Estimating costs of an LLM API  (2.85 MB)
05 - Solution Estimating costs of an LLM API  (7.43 MB)
01 - Next steps  (7.15 MB)

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