Learn about Anthropicâs family of models, its approach to AI research, and the best way to prompt it, including multi-modal use cases.
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Instructor: Colt Steele
Learn about Anthropicâs family of models, its approach to AI research, and the best way to prompt it, including multi-modal use cases.
Learn effective prompting techniques, implement prompt caching to reduce costs and latency, and build AI applications that can call tools.
See how you can combine multimodal capabilities, agentic workflows, and tool use to build an AI assistant that can navigate and interact with computer interfaces, executing tasks like web searches.
Building Towards Computer Use with Anthropic introduces an innovative capability from Anthropic that enables models to interact with and navigate computer interfaces.
Taught by Colt Steele, Anthropicâs Head of Curriculum, this course covers Anthropicâs family of models and the building blocks that lead to the amazing new application â Computer Use.
Computer Use utilizes the capabilities of the latest models including image reasoning and tool use to enable an LLM-based agent to use a computer. Like a human user, the model processes an image of the screen, analyzes it to understand whatâs going on, and navigates the computer by issuing mouse clicks and generating keyboard strokes to get things done.
In this course, youâll learn the features that lead up to computer use from working with the Anthropicâs API, to multimodal prompting, prompt caching, and tool use, ending in a demo that combines these features to build an AI assistant that uses a computer.
In detail, youâll:
Start utilizing Anthropicâs family of models to build towards Computer Use applications.
Anyone who has basic Python knowledge, wants to learn how to use all of the features of the Anthropic family of models, and understand the capabilities of computer use applications.
Introduction
Overview
Working with the API
Multimodal Requests
Real World Prompting
Prompt Caching
Tool Use
Computer Use
Conclusion
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