New Book: State of the Art in GenAI & LLMs — Creative Projects, with Solutions
With 23 top projects, 96 subprojects, and 6000 lines of Python code, this vendor-neutral coursebook is a goldmine for any analytic professional or AI/ML engineer interested in developing superior GenAI or LLM enterprise apps using ground-breaking technology. This is not another book discussing the same topics that you learn in bootcamps, college classes, Coursera, or […]
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GenAI Evaluation Metrics: Your Best Loss Functions to Boost Quality
Whether dealing with LLM, computer vision, clustering, predictive analytics, synthetization, or any other AI problem, the goal is to deliver high quality results in as little time as possible. Typically, you assess the output quality after producing the results, using model evaluation metrics. These metrics are also used to compare various models, or to measure […]
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Breakthrough: Zero-Weight LLM for Accurate Predictions and High-Performance Clustering
While most AI companies keep building LLMs with more weights and tokens (now one trillion is a standard number), I went in the opposite direction. Of course, zero weight means that there is no neural network behind the scenes. More specifically, it means that there is no lengthy Blackbox process to find the “best” weights […]
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