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You might say 2023 was an eventful year for data scientists and ML professionals, but that wouldn’t quite capture the amount of hectic activity we’ve seen in the field in the past 12 months. As much as we always aim to resist hype and hyperbole, we have to concede that yes, we’ve seen some dramatic…
Introduction The world of sales is constantly evolving, and in this dynamic landscape, the ability to accurately identify and understand potential customers is more crucial than ever. This is where the concept of lead qualification, a cornerstone of effective sales strategies, comes into play. Essentially, lead qualification acts as a filter, enabling sales teams to…
A survey by Accenture on underwriting employees found that up to 40% of underwriters’ time is spent on non-core and administrative activities. They estimate that this represents an industry-wide efficiency loss of up to $160 billion over the next five years. Integrating AI and automation into the underwriting workflow presents a significant opportunity to minimize…
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If you know how to create a machine learning decision tree, congratulations, you have the same level of code expertise as ChatGPT and the thousands of other data scientists competing for the job you want.
One fascinating trend among hiring managers lately is that raw coding ability just doesn’t cut…
Large Vision-Language Models (LVLMs) combine computer vision and natural language processing to generate text descriptions of visual content. These models have shown remarkable progress in various applications, including image captioning, visible question answering, and image retrieval. However, despite their impressive performance, LVLMs still face some challenges, particularly when it comes to specialized tasks that require…
AI provides a new tool for studying extinct species from 50,000 years ago Researchers Beatrice Demarchi from the University of Turin, Josefin Stiller from the University of Copenhagen, and Matthew Collins from the University of Cambridge and University of Copenhagen share their AlphaFold story. Could burn marks on ancient eggshells explain the disappearance of the…
How to Improve Your ChatGPT Outputs Using Configuration Parameters | by Angelica Lo Duca | Dec, 2023
ChatGPT, Generative AI A focus on configuring the temperature, the Top P, the frequency penalty, and the presence penalty directly in your ChatGPT prompts Photo by Growtika on UnsplashI’ve recently been reading a very interesting book by David Clinton, entitled The Complete Obsolete Guide to Generative AI, published by Manning Publications. In the second chapter,…
This week on KDnuggets: A collection of super cheat sheets that covers basic concepts of data science, probability & statistics, SQL, machine learning, and deep learning • An exploration of NotebookLM, its functionality, limitations, and advanced features essential for researchers and scientists • And much, much more!
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Diffusion models have shown to be very successful in producing high-quality photographs when given text suggestions. This paradigm for Text-to-picture (T2I) production has been successfully used for several downstream applications, including depth-driven picture generation and subject/segmentation identification. Two popular text-conditioned diffusion models, CLIP models and Latent Diffusion Models (LDM), often called Stable Diffusion, are essential…