Source: Canva   Until recently, demand forecasting and inventory optimization were among some of the key AI applications leveraging AI. However, the recent developments in AI have led to an array of innovative AI offerings that have revolutionized the retail business.    Think Outside the Box!!!   One unique use case involves optimizing the…

  The Scale and Complexity of LLMs   The incredible abilities of LLMs are powered by their vast neural networks which are made up of billions of parameters. These parameters are the result of training on extensive text corpora and are fine-tuned to make the models as accurate and versatile as possible. This level of…

  Image by Author   Diffusers is a Python library developed and maintained by HuggingFace. It simplifies the development and inference of Diffusion models for generating images from user-defined prompts. The code is openly available on GitHub with 22.4k stars on the repository. HuggingFace also maintains a wide variety of Stable DIffusion and various other…

  Image by Author   Running LLMs (Large Language Models) locally has become popular as it provides security, privacy, and more control over model outputs. In this mini tutorial, we learn the easiest way of downloading and using the Llama 3 model.  Llama 3 is Meta AI's latest family of LLMs. It…

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Image by Author   It is a widely spread fact among Data Scientists that data cleaning makes up a big proportion of our working time. However, it is one of the least exciting parts as well.  So this leads to a very natural question:   Is there a way to automate this process?   Automating…

Image by author   If you want to get a job in data science and you didn’t get a degree in computer science, data science, or mathematics the first time around, you might be looking at your options now. You could go back to school to get that degree, or you could try to…

Image by Author   Do you ever feel like there are too many tools for MLOps? There's a tool for experiment tracking, data and model versioning, workflow orchestration, feature store, model testing, deployment and serving, monitoring, runtime engines, LLM frameworks, and more. Each category of tool has multiple options, making it confusing for managers…

Image by Author   Learning from free courses can be highly beneficial for those seeking to enter the field of data science. Free courses offer numerous advantages such as cost-effectiveness, flexibility, access to the latest tools and concepts, opportunities to learn from industry experts, community support, and hands-on learning experience instead of spoon-feeding. In…

  Image by Author  When you decided to become a data professional, you were aware of one thing: learning never stops. It can be hard to keep up with learning new things in the market or upskilling to ensure you remain competitive. KDnuggets are here to help you with that journey. We want to introduce…