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The key features of LangGraph Studio are: Visual agent graphs The IDEs visualization tools allow developers to represent agent flows as intuitive graphic wheels, making it straightforward to understand and modify complex systemarchitectures. Hotel booking required for 5 days. Flight search needed for March 15, 2025.
His career bridges machine learning research and startup innovation, with previous roles including leading the ML monitoring team at Robust Intelligence, conducting self-driving AI research at Uber ATG, and developing recommendation systems at Quora. Her most recent work includes a book on Generative AI and Large Language Models.
Lets start with a simple travel booking scenario: Your interaction begins with telling a travel planning agent about your desired trip. Essentially, the LLM is transforming your casual, conversational input into a structured set of travel requirements that can be used by the specialized booking agents in the subsequent steps of the workflow.
The platform enables you to create managed agents for complex business tasks without the need for coding, such as booking travel, processing insurance claims, creating ad campaigns, and managing inventory. As an ML enthusiast, Dhaval is driven by his passion for creating impactful solutions that bring positive change.
He is a multi patent inventor with three granted patents and his experience spans multiple technology domains including telecom, networking, application integration, AI/ML, and cloud deployments. She leads machine learning (ML) projects in various domains such as computer vision, natural language processing and generative AI.
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