How to improve the performance of a RAG model
Optimize Retrieval-Augmented Generation (RAG) models by enhancing vectorization, utilizing multiple data sources, and choosing the right language model for improved perfo...
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How to utilize AI for improved data cleaning
You spend most of your workweek preparing and cleaning datasets. What if you could cut that time in half? With AI, you could streamline your workflows while improving acc...
OpenAI and Anthropic: Hopes for AI alignment and safety should not be centralized
By David Stephen For all the negative reasons that AI was in the news in the last year, regarding harms and misuses, what did Anthropic or OpenAI offer, as broad solution...
Are Bill Gates’ energy expectations for AI optimism or realism?
As both a major funder of climate change initiatives as well as one of the largest economic beneficiaries of Open AI, Bill Gates’ claim that climate-focused concerns of...
The importance of assortment localization and size localization in fashion: Leveraging data science for fashion localization
In the ever-evolving landscape of the fashion industry, the concept of “localization” has gained immense importance. With globalization expanding the reach of...
A code security use case for property graph-enabled predictions
An interview with Chetan Conikee, founder and CTO at Qwiet.ai Serial entrepreneur Chetan Conikee honed his skills as a technical lead, engineering manager and architect i...
The rationale for open data stewardship in an AI age
Image by Gerd Altmann from Pixabay The considerable advantage of the internet and the web is that together they boosted the global economy dramatically. By 2020, internet...
30 Features that Dramatically Improve LLM Performance – Part 2
In this article, I explore 10 additional features that have a big impact on LLM/RAG performance, in particular on speed, latency, results relevancy (minimizing hallucinat...
Blending Data Science and Design Thinking for Strategic Advantage
Leveraging AI and data effectively has become crucial to organizational success in a rapidly evolving digital landscape. The “Thinking Like a Data Scientist” ...