Author: aitoday7

AI agents have shown great potential in automating real-world tasks, such as conducting a Google Search, reading local computer files, or executing generated Python scripts. To achieve such agentic workflows, LLMs need to learn how to use tools correctly and efficiently. To teach large language models tool uses, we need datasets of tool-use chains and…

Google recently published a research paper about training an LLM to replace current back-end ranking architectures for search. The researchers propose using Autoregressive Ranking as a replacement for the current two-stage ranking systems.