Integrating Large Language Models (LLMs)
Focus on the integration of LLMs into AI products, exploring their capabilities and limitations.
Learning Objectives
To understand and apply methods for integrating LLMs into AI-first products effectively.
Topics
Understanding LLMs
Explore the capabilities and limitations of Large Language Models.
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APIs and LLMs
Learn how to use APIs to integrate LLMs into products.
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Data Sharing with LLMs
Discuss data sharing practices when working with LLMs.
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Fine-tuning Models
Explore techniques for fine-tuning LLMs for specific applications.
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Evaluating Model Performance
Learn methods for evaluating the performance of integrated LLMs.
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Security Considerations
Understand the security implications of deploying LLMs.
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Ethical Concerns
Discuss the ethical implications of using LLMs in products.
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Use Case Development
Create use cases for LLM integration in products.
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Realtime audio conversation for interactive session.
Interactive realtime chat session.
Live whiteboard explanation and collaboration.
Real-time wide variety of examples.
Continuous assessment and feedback.
Progress monitoring and record progress journey.
Broadcast session with larger audience for free.
Attend audience queries and provide responses.