Machine Learning / AI
How did you evaluate a multi-agent system? What metrics were used?
How to optimize the search for the maximum in a sliding window?
VKTell me about your free time, hobbies, and interests besides updating your knowledge.
What is linear regression and how is it trained?
What are your financial expectations?
ГазпромбанкWhat problems arise in the absence of randomized data?
МТСWhat is federated learning in medicine and why is it needed?
ВТБ
НорникельWhat do we take as positive and negative when training a double-headed network, and what loss is used?
iviOther ML engineers with experience tend to want different projects to explore everything. Do you want the opposite?
If you were a team lead deciding how processes would go in different teams developing similar bots — would each write their own service on their own libraries, or would you switch everything to a single solution?
X5 techWhat to do with ML model weights if they are several gigabytes in size? How to store them in the context of Docker?
What is ring-allreduce and why is it more efficient than a parameter server?
What business metrics were used in the projects?
КонтурHow to understand which of the two scenarios (documents or people) the system should operate on when receiving a user question?
СБЕРWhat is the variance of a constant?
МТСTell me about LoRA: what it is, how it is trained, and how it works during inference.
How was the entire multi-agent system traced — at which stages do errors, latency, etc. occur?
How many people are in the team?
AstonWhy is non-linearity needed in neural networks?
X5 techTell me about Momentum: what are its features?
Avito