Knowledge graphs are network graphs that link related concepts and properties together to create a form of inferencing engine, with knowledge engineering being the programming aspect of graph usage. Explore how knowledge graphs are created and queried, how they are used as part of a broader form of enterprise metadata management, and how they tie into ML and the IoT.
Three years after the outbreak of the COVID-19 pandemic, the lingering impacts of the viral outbreak and the risk of another deadly pathogen spreading around… Read More »How informatics, ML, and AI can better prepare the healthcare industry for the next global pandemic
Training data is the cornerstone of AI algorithms – the quality of outputs is contingent on the data the AI model was trained on. The… Read More »From chaos to creation: How data labeling drives success in generative AI
Interview with Jans Aasman, CEO of Franz, Inc. Image by Gerd Altmann from Pixabay Jans Aasman’s AI background goes back to his training as a… Read More »Build your own chatbot and talk to your own documents
Jill Kowalchuk’s Insights on Integrating AI in K-12 Education Brought to you by DOCEO AI | Hosted by the AI Think Tank Podcast on May 27th 2024 The… Read More »Empowering Educators with AI Literacy
Since OpenAI/GPT launched in November 2022, many things have happened. Competitors and new applications are born every month, some raising considerable funding. Search is becoming… Read More »New Trends in LLM Architecture
This is the 5th and final article in a series that discusses the impact current and future acceleration technology will have on HPC and AI.
Interview with Patrick Stingley During this very special 6th episode of the AI Think Tank Podcast, I had the honor to speak with Patrick Stingley, a… Read More »Zero Trust Architecture and AI
“Our goal is to redefine the interaction between technology and personal data. We envision an AI that is not just a tool used by the masses but an extension of the individual, respecting their privacy and enhancing their autonomy.” -Reza Rassool
This is not a repository of traditional questions that you can find everywhere on the Internet. Instead, it is a short selection of problems that… Read More »7 Cool Technical GenAI & LLM Job Interview Questions
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and artificial intelligence with the insights of Tim Rohrbaugh, an expert whose career has traversed the Navy to the forefront of commercial cybersecurity. The discussion focused on the strategic deployment of AI in cybersecurity, highlighting the use of open-source models and the benefits of local deployment to secure data effectively.
