Prompt Engineering Best Practices: Using Custom Instructions [AI Today Podcast]
Apr 19, 2024
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LLMs are probabilistic systems that provide different possible results but can get things wrong. The hosts discuss using custom instructions for LLMs to improve accuracy. Topics include prompt chaining, benefits of custom instructions in chat GPT, and best practices in AI project management. The episode also covers email security, subscribing to the podcast, and teases the next episode about using plugins.
LLMs are probabilistic systems, bound to make errors based on different possible results.
Custom instructions like OpenAI's chat GPT improve conversational context, reducing repetitive prompts and enhancing outcomes.
Deep dives
The Importance of Generative AI in Daily Life
Generative AI, like chat GPT, image generators, and audio generators, serves as an entry point for many individuals to grasp the power of training machines with data. Understanding generative AI's impact on daily life is crucial as it shapes future work environments. Those who master generative AI skills will likely thrive in upcoming job markets, emphasizing the necessity of embracing this technology.
Enhancing Conversational Context with Custom Instructions
Maintaining conversational context within generative AI solutions often requires starting anew, leading to repetitive prompts and potentially confusing responses. Custom instructions, such as those offered in OpenAI's chat GPT, allow users to set default response settings, facilitating more accurate and consistent outcomes. Users have reported improved results and efficiency using custom instructions while reducing the burden of repetitive input.
The Evolving Role of Generative AI Skills and Best Practices
Acquiring and refining generative AI skills is becoming increasingly vital in professional settings, with these abilities potentially becoming standard job requirements. Integrating generative AI effectively into workflows requires adherence to best practices, including defining clear business problems and ensuring real-world value. Embracing generative AI tools for growth and efficiency is crucial in navigating the evolving technological landscape.
As folks continue to use LLMs, best practices are emerging to help users get the most out of LLMs. OpenAI’s ChatGPT allows users to tailor responses to match their tone and desired output goals. Many have reported that using custom instructions results in much more accurate, precise, consistent, and predictable results. But why would you want to do this and why does it matter?