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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