The LLMs as we know them didn’t appear out of thin air. AI has roots dating back over 100 years, when early concepts like fuzzy logic emerged. Then came mathematical models that contributed to the development of neural networks. But will LLMs replace classic Machine Learning for good?
Machine learning enhances the accuracy and precision of various tasks by processing large amounts of data and identifying patterns. If your organization is considering implementing a machine learning-based solution, we encourage you to explore the advantages and benefits of ML and discuss some potential limitations and what you can do to minimize them.
As organizations grow in size, the volume of internal information swells exponentially. A LLM chatbot helps to find the information and streamline data distribution.
VirtusLab shows you how to build an AI app with Scala 3 & Besom from scratch.
Large Language Models can revolutionize how programmers seek assistance. We tested them on Scala documentation and present the results here.
In this post, we describe how we built a pipeline for the type of “incoming data” situation, and how we came up with a good solution in the end.
