AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion

Prompt Engineering Best Practices: Using Plugins [AI Today Podcast] [https://www.cognilytica.com/wp-content/uploads/2024/04/Using-Plugins-150x150.png]https://www.cognilytica.com/prompt-engineering-best-practices-using-plugins-ai-today-podcast/ Plugins for Large Language Models (LLMs) are additional tools or extensions that enhance the LLM’s capabilities beyond its base functions. In this episode hosts Kathleen Walch and Ron Schmelzer discuss this topic in greater detail. Can I use plugins with ChatGPT? Plugins can access external databases, perform specific computations, or interact with other software and APIs to fetch real-time data, execute code, and more. Continue reading Prompt Engineering Best Practices: Using Plugins [AI Today Podcast] at Cognilytica. [https://www.cognilytica.com/prompt-engineering-best-practices-using-plugins-ai-today-podcast/]

Prompt Engineering Best Practices: Using Custom Instructions [AI Today Podcast] [https://www.cognilytica.com/wp-content/uploads/2024/04/Custom-Instructions-1-150x150.png]https://www.cognilytica.com/prompt-engineering-best-practices-using-custom-instructions-ai-today-podcast/ 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? Continue reading Prompt Engineering Best Practices: Using Custom Instructions [AI Today Podcast] at Cognilytica. [https://www.cognilytica.com/prompt-engineering-best-practices-using-custom-instructions-ai-today-podcast/]

Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast] [https://www.cognilytica.com/wp-content/uploads/2024/04/George-Fountain-150x150.png]https://www.cognilytica.com/applying-cpmai-methodology-in-the-real-world-interview-with-george-fountain-booz-allen-hamilton-bah-ai-today-podcast/ Companies of all sizes in every industry are looking to see how Artificial Intelligence (AI), machine learning (ML), and cognitive technology projects can provide them a competitive edge. They want to provide efficiencies and improve ROI in today’s competitive landscape. As a result, this creates tremendous opportunity in the field of AI for professionals who are CPMAI certified and follow the CPMAI methodology. Continue reading Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast] at Cognilytica. [https://www.cognilytica.com/applying-cpmai-methodology-in-the-real-world-interview-with-george-fountain-booz-allen-hamilton-bah-ai-today-podcast/]

Prompt Engineering Best Practices: What is Prompt Chaining? [AI Today Podcast] [https://www.cognilytica.com/wp-content/uploads/2024/04/Prompt-Chaining-150x150.png]https://www.cognilytica.com/prompt-engineering-best-practices-what-is-prompt-chaining-ai-today-podcast/ To improve the reliability and performance of LLMs, sometimes you need to break large tasks/prompts into sub-tasks. Prompt chaining is when a task is split into sub-tasks with the idea to create a chain of prompt operations. Prompt chaining is useful if the LLM is struggling to complete your larger complex task in one step.  Continue reading Prompt Engineering Best Practices: What is Prompt Chaining? [AI Today Podcast] at Cognilytica. [https://www.cognilytica.com/prompt-engineering-best-practices-what-is-prompt-chaining-ai-today-podcast/]

Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast] [https://www.cognilytica.com/wp-content/uploads/2024/04/Using-a-prompt-pattern-1-150x150.png]https://www.cognilytica.com/prompt-engineering-best-practices-using-a-prompt-pattern-ai-today-podcast/ LLMs are basically big “text predictors” that try to generate outputs based on what it expects is the most likely desired output based on what the user provides as the text-based input, the prompt. Prompts are natural language instructions for an LLM provided by a human so that it will deliver the desired results you’re looking for. Continue reading Prompt Engineering Best Practices: Using a Prompt Pattern [AI Today Podcast] at Cognilytica. [https://www.cognilytica.com/prompt-engineering-best-practices-using-a-prompt-pattern-ai-today-podcast/]