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Insights after two years in the industryExample of an encoder and a graph in the latent space (image by author)The scenario: a high-speed production line is…
The end goal of forecast is not accuracy, but tangible value creation. Let’s explore 5 insights to maximise the value of demand forecastsPhoto by Daoudi Aissa…
With the rise of Large Language Models (LLMs) in recent years, generative AI has made significant strides in the field of language processing, showcasing impressive abilities…
Image by Author In this tutorial, we will learn how to set up and use the OpenAI API for various use cases. The tutorial is…
Image by Author Diving into the world of data science and machine learning, one of the fundamental skills you’ll encounter is the art of reading…
Image generated by MidjourneyAnd 5 ways to use it in data science and machine learning@property is my favorite decorator in Python. I have been using Python…
In the dynamic field of software development, integrating large language models (LLMs) has initiated a new chapter, especially in code intelligence. These sophisticated models have been…
Evaluating LLMs as versatile agents is crucial for their integration into practical applications. However, existing evaluation frameworks face challenges in benchmarking diverse scenarios, maintaining partially observable…
Do you find it difficult to keep up with the latest ML research? Are you overwhelmed with the massive amount of papers about LLMs, vector databases,…
Transformers have found widespread application in diverse tasks spanning text classification, map construction, object detection, point cloud analysis, and audio spectrogram recognition. Their versatility extends to…