What to consider when selecting a learning model
Image by Malachi Witt from Pixabay I had the chance to listen to a talk that Ivan Lee, Founder and CEO of Datasaur, gave during… Read More »What to consider when selecting a learning model
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Machine Learning
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.
LLM Chunking, Indexing, Scoring and Agents, in a Nutshell
It is becoming a bit difficult to follow all the new AI, RAG and LLM terminology, with new concepts popping up almost every week. Which… Read More »LLM Chunking, Indexing, Scoring and Agents, in a Nutshell
Pill bots, agents and solving gen AI’s data challenges: Takeaways from the AI Summit
Image by René Bittner from Pixabay I had the opportunity courtesy of managing director Sheena Tu of Techequity-ai to attend a good portion of their… Read More »Pill bots, agents and solving gen AI’s data challenges: Takeaways from the AI Summit
How machine learning helps save coral reefs — by listening
Coral reefs are critical ecosystems on the brink of extinction. Today’s artificial intelligence (AI) and advancements in machine learning have enabled experts to identify, monitor… Read More »How machine learning helps save coral reefs — by listening
New Book: Building Disruptive AI & LLM Technology from Scratch
This book features new advances in game-changing AI and LLM technologies built by GenAItechLab.com. Written in simple English, it is best suited for engineers, developers,… Read More »New Book: Building Disruptive AI & LLM Technology from Scratch
Reducing insurance loss ratios with data science and AI algorithms
Insurance plays a pivotal role in providing financial security against unforeseen risks and losses. A critical metric for evaluating the financial performance and health of… Read More »Reducing insurance loss ratios with data science and AI algorithms
How to address concept drift in machine learning
Because of concept drift in machine learning, models built for forecasting will almost always experience drops in performance and accuracy over time. Can artificial intelligence… Read More »How to address concept drift in machine learning
A few enterprise takeaways from the AI hardware and edge AI summit 2024
Image by Gerd Altmann from Pixabay A few enterprise takeaways from the AI hardware and edge AI summit 2024 Enterprises haven’t seemed as enthusiastic about… Read More »A few enterprise takeaways from the AI hardware and edge AI summit 2024
Scaling knowledge graphs and neurosymbolic AI
An interview with Amit Sheth, founding director, Artificial Intelligence Institute, University of South Carolina Amit Sheth has survived and thrived through multiple AI winters because… Read More »Scaling knowledge graphs and neurosymbolic AI
Deep Reflections on Mycelium, Neural Networks, & AGI
Interview with Jeanette Small, MA, PhD In this recent AI Think Tank Podcast episode, we took a close look into the complexities of intelligence, neural… Read More »Deep Reflections on Mycelium, Neural Networks, & AGI