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LLMOps: Building Real-World Applications With Large Language Models

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level

Intermediate

Duration

2 Weeks

Course Type

Course

Rating

Rated 4.6 out of 5

Update

2024, Last Updated January 30

Learn how to operationalize large language models for practical applications in various domains.

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The goal of this course is to teach you everything you need to build real-world, production software with large language models. Unlike other LLM-focused courses, our emphasis will not be on theory or on building simple proof-of-concept projects in Jupyter notebooks. We will instead be exploring the operations behind production-grade LLM applications. This includes, but is not limited to experiment management and model versioning, fine-tuning and prompt engineering, deployment, monitoring, and maintenance of LLMs, and AI safety and security (including how to protect against adversarial actors). Along the way, we’ll build several full applications, including a chatbot, an evaluation system, and a clickbait detector. Finally, we’ll look at the future of LLM and LLMOps.

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LLMOps: Building Real-World Applications With Large Language Models
LLMOps: Building Real-World Applications With Large Language Models
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