Machine Learning / AI
How was the quality of the fine-tuned model evaluated?
Tell about the project for employee turnover prediction: business problem, ML task setting, metrics, and data.
НорникельWhich part (BM25 or dense) has unnormalized values?
Have you participated in validation of complex systems and agents in production?
Tell me more about the project on employee churn prediction: what did you do, what data did you use, why did you choose CatBoost?
What is a sparse vector? How does it differ from a dense one?
Do you only write in Python or in other languages as well?
AvitoTask: In 1000 documents, there are 10 almost identical ones (differing only by a number in the middle — call price for different regions). How will this affect RAG and how to solve the problem?
Are there deadlines for job search? Which companies are you still communicating with?
Яндекс ФинтехL2 regularization in XGBoost — which coefficients does it impose restrictions on?
МТСTell us about your first job: what tasks and projects did you work on, what tools did you use?
What is data leakage and where does it come from?
What metrics did you use to evaluate system quality and how did you achieve a 40% improvement?
Tell me more about FAISS: how is the index structured, how is it deployed, and how does the end-to-end system work?
iviAdd two numbers in one function, with a decorator that first prints 'Hello', then calls the addition function, and then prints 'Bye'. def hello(func): def wrapper(a,b): print('Hello') result = func(a,b) print('Bye') return result return wrapper @hello def add_numbers(a,b): return a+b print(add_numbers(2,3))
X5 techWould you prefer to stay with Node.js and React, or are you open to another stack (in the context of ML)?
ТочкаWhy do we reshape in NumPy?
МТСWhy did you choose exactly two agents? Why not one or more?
What vulnerabilities exist in multi-agent LLM systems?
How does it affect your work that you have different projects? Does this impact your financial motivation? Do you have bonuses for projects?