Demand Planning Analytics | Towards Data Science
In this section, we will discuss descriptive analytics that use forecasts and historical sales (actuals) in the calculations. Let’s note
- September 19, 2023
AI, Syndicated
A Foundation Model for Medical AI | by Federico Bianchi | Sep, 2023
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
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Something-of-Thoughts in LLM Prompting: An Overview of Structured LLM Reasoning | by Yunzhe Wang | Sep, 2023
GoT’s novelty lies in its ability to apply transformations to these thoughts, further refining the reasoning process. The cardinal transformations
Multi-AI collaboration helps reasoning and factual accuracy in large language models | MIT News
An age-old adage, often introduced to us during our formative years, is designed to nudge us beyond our self-centered, nascent
All You Need to Know about Vector Databases and How to Use Them to Augment Your LLM Apps | by Dominik Polzer | Sep, 2023
A Step-by-Step Guide to Discover and Harness the Power of Vector Databases Dominik Polzer · Follow Published in Towards Data
7 Procure to Pay AI Use Cases in 2023
Procure to Pay (P2P) process is crucial for any businesses’ success. There are monolithic solutions such as P2P suites. Where
Can Language Models Make Their Own Tools? | by Cameron R. Wolfe, Ph.D. | Sep, 2023
LaTM, CREATOR, and other closed-loop frameworks for LLM tool usage… (Photo by Todd Quackenbush on Unsplash) In recent overviews, we
- September 16, 2023
The AutoML Dilemma. An Infrastructure Engineer’s… | by Haifeng Jin | Sep, 2023
We learned where we are now and where we are going with AutoML. The question is how we are getting
- September 16, 2023
Mastering the Data Science Workflow
Photo by Fer Troulik on Unsplash The collection stage involves acquiring the necessary data in order to perform a meaningful