How does an agent differ from a simple LLM?
Machine Learning / AI
How is the attention mechanism in transformers structured?
How to automatically split text into meaningful chunks without using LLM?
How to build a Text-to-SQL system for 15 databases? What problems do you see and how to solve them?
What task does GPT solve?
What is the Brier score in survival analysis?
What tools did you use during testing?
What happens if you delete the first or last tree in boosting?
How does feedback from Grafana/Loki come?
Is it enough to use only one feature of the credit sum or should it be linked with other signs?
What is the difference between 'is' and '==' in Python?
How does GAT (Graph Attention Network) differ from GCN?
How is multi-agent interaction logged in the framework?
How does the mutability property change when embedding a mutable list into an immutable object in Python?
What is the result of multiplying keys and queries in transformers?
How was the economics of the employee churn prediction model calculated?
How is the complexity of algorithms measured and described?
How to run a large model on weak hardware?
What is a persona-based dialog?