Combining the most powerful tools: LLMs and Search Engine Agent
New solution focuses on increasing the reliability and accuracy of the LLM model by giving it access to a search engine.
New solution focuses on increasing the reliability and accuracy of the LLM model by giving it access to a search engine.
Luxoft's new LLM-based algorithm automates the detection and management of duplicate tickets in customer support and IT service management, improving efficiency and reducing manual effort.
The power of machine learning doesn’t just lie in the models. It’s about understanding data characteristics during exploratory analysis...
Automating mechanical and repetitive actions within an organization is a key factor in providing competitive advantages to businesses. This..
Thanks to data science and, in particular, machine learning, businesses can better understand and do preventive and timely ..
Introduction In the previous article, we saw how to work with machine learning models on AzureML workspace. We deployed models into an Azure Kubernetes cluster and were able to infer the performance of ..
Abstract The article outlines the architecture of the MLOps provided by Microsoft Azure and the separation of roles and responsibilities between a DevOps engineer and a data scientist. An example of the ..
For some time in the past, running ML algorithms and neural networks on AMD GPUs has been a non-trivial task for an ordinary developer. As part of the GEMS AI/ML team at Luxoft DXC, we spend a lot of time..
This is the second article that continues our series dedicated to running ML algorithms and neural networks on AMD GPUs. In the previous part of this series, we explained our ML project and covered ..
As your team is growing and the processes are becoming more complex,In this article, we will talk about the interaction of a large system of neural networks of the Trading Bot project and the MLOps..