Browsing: AI & Automation

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…

An artificial intelligence researcher who left OpenAI to join Anthropic has decided to leave the industry, accusing both US companies of “gambling with our lives” in the race to develop AI models capable of self-improvement.

A configurable, instruction-driven detector that runs on any large language model (LLM) managed on Amazon Bedrock, evaluated on five public PII corpora across nine LLM-based detectors, including the OpenAI PrivacyFilter.

AI adoption has influenced how organizations use and measure customer experience technology stacks. As a result, organizations have had to shift from using metrics built for human-only workflows to more hybrid approaches.