Whispers from the digital wind, hang tight..
Developing descriptive analytics can help identify focus areas to improve demand planning KPIs and process efficiency Photo by Lukas Blazek on Unsplash Introduction Demand planning is at the forefront of an Integrated Business Planning (IBP) process. The outcomes from this stage
What Does It Mean When Machine Learning Makes a Mistake? Do our definitions of “mistake” make sense when it comes to ML/AI? If not, why not? Photo by Kind and Curious on Unsplash A comment on my recent post about the public perception
An introduction to a basic prompt engineering strategy Continue reading on Towards Data Science »
Numba is very fast, but is it fast enough? Continue reading on Towards Data Science »
Introducing PLIP, a foundation model for pathology Photo by Tara Winstead: https://www.pexels.com/photo/person-reaching-out-to-a-robot-8386434/ Introduction The ongoing AI revolution is bringing us innovations in all directions. OpenAI GPT(s) models are leading the development and showing how much foundation models can actually make
Something-of-Thoughts in LLM Prompting: An Overview of Structured LLM Reasoning Chain-of-Thoughts (CoT), Tree-of-Thoughts (ToT), Graph-of-Thoughts (GoT), and beyond, … What are these thoughts? “Tree of Thought”, generated by Midjourney In the age of smartphones and smart homes, imagine an AI that
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