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 ..read more

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 ..read more

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 complex your larger complex task in one step.  ..read more

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 ..read more

AI is helping to re-imagine experiences of all sorts, including air travel. At SXSW 2024 Bernadette Berger, who is Director of Innovation at Alaska Airlines presents on “The Sky’s the Limit: How AI will Re-imagine Airports”. In this episode of the AI Today podcast hosts and AI thought leaders Kathleen Walch and Ron Schmelzer have the opportunity to interview Bernadette ..read more

During the SXSW 2024 event, Wei Li presented on AI Everywhere with Software and Hardware. In this episode of the AI Today podcast we interview Wei Li. He is VP/GM of the AI Software Engineering Team at Intel. He shares with what insights from that talk and what he means by AI being everywhere in both hardware and software ..read more

As organizations continue to adopt AI the idea of innovation and sustainability are becoming important conversations. Intel wants to accelerate AI adoption by lowering barriers to entry for customers. In this episode of the AI Today podcast we interview Nuri Cankaya. He is the VP of AI Marketing at Intel. Nuri sheds light on the myriad challenges faced by companies as they navigate the integration of AI with real-world data ..read more

AI is having an impact on just about every industry and healthcare is no exception. In this episode of the AI Today podcast Cognilytica AI thought leaders Kathleen Walch and Ron Schmelzer interview Dr. Jesse Ehrenfeld. He is President of the American Medical Association (AMA). What is the impact of artificial intelligence in healthcare ..read more

The people side of AI is changing. Generative AI is reshaping how teams brainstorm, collaborate, and embrace the future. In this episode of the AI Today podcast we interview Ian Beacraft who is CEO at Signal and Cipher, and also CPMAI certified. Is AI helping or hurting society? In recent years the idea of responsible, ethical, and trustworthy AI has gained a lot of attention ..read more

The Explainable AI Layer of the Cognilytica Trustworthy AI Framework addresses the technical methods that go into understanding system behavior and make black boxes less so. In this episode of the AI Today podcast Cognilytica AI experts Ron Schmelzer and Kathleen Walch discuss the interpretable and explainable AI layer. The Explainable AI Layer Separate from the notion of transparency of AI systems is the concept of AI algorithms being able to explain how they arrived at particular decisions ..read more