The competition among Large Language Models (LLMs) is just beginning. Who had even heard of LLMs a year ago? Certainly, the early market leader has been OpenAI, but the past few days have shaken things up. With unpredictable swings in leadership and fleeting triumphs akin to the world of sports, the battle for supremacy in …
by John Michelsen 
Generative AI is Accelerating Everything Generative AI (GenAI) is influencing nearly all processes in our businesses and none so much as knowledge management systems. Employees want a better experience and they have found it by already experimenting with GenAI; ask a question, and get an answer. But, the answers and the knowledge delivered to them …
by Scott King 
We’ve received a lot of questions and inquiries regarding the recent AI executive order enacted by President Biden. Sam summarized his opinions and what they mean here. He recommends you follow the NIST AI Risk Management Framework for now as the agencies complete their reports per the 90, 180, 270, and 365-day deadlines in the order. …
by Scott King 
Different LLMs have varying strengths and weaknesses. Understanding the strengths and weaknesses of different language models is crucial, as it allows you to select the most efficient tool for your specific needs. When you evaluate and test various LLMs, you are essentially comparing their ability to answer different types of questions, their performance, and their …
by Scott King 
The Prompt Engineer Do you need a prompt engineer? Can you train your people to generate prompts? Can this be automated? Well, it depends. LLMs, like BARD, OpenAI GPT-3.5 and 4, Llama, or Flan, require a diligent and persistent approach to testing and refining prompts. Their variable performance for different use cases reveals the critical …
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