

Prompt Engineering Best Practices: Using Plugins [AI Today Podcast]
Apr 24, 2024
Explore the use of plugins to enhance Large Language Models, enabling access to external databases, real-time data, and code execution. Learn how plugins improve AI systems by providing specialized knowledge, interactivity, customization, and automation, leading to increased efficiency and time-saving in AI projects.
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Use Plugins for Enhanced Capabilities
- Use plugins to enhance LLM capabilities beyond basic functions.
- Plugins offer access to external data, computations, and software interactions.
LLM Limitations and Plugin Benefits
- LLMs primarily focus on answering general questions due to their broad training data.
- Plugins offer access to real-time information, domain-specific knowledge, and other resources.
Improve Performance with Plugins
- Utilize plugins for interactivity with other applications and dynamic content generation.
- Customize and personalize LLMs with plugins for specific needs, improving performance and efficiency.