When making decisions and judgments, humans can fall into common “traps,” known as cognitive biases. A cognitive bias is essentially the tendency to process information in a specific way or follow a systematic pattern. One widely documented cognitive bias is the so-called addition bias, the tendency of people to prefer solving problems by adding elements …
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Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.
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What research can be pursued with small models trained to complete true programs? Typically, researchers study program synthesis via large language models (LLMs) which introduce issues such as knowing what is in or out of distribution, understanding fine-tuning effects, understanding the effects of tokenization, and higher demand on compute and storage to carry out experiments. …
Baolin Li, Lingyi Liu, Binh Tang, Shaojing Li Introduction Pre-training gives Large Language Models (LLMs) broad linguistic ability and general world knowledge, but post-training is the phase that actually aligns them to concrete intents, domain constraints, and the reliability requirements of production environments. At Netflix, we are exploring how LLMs can enable new member experiences across …
AI agents that browse the web need more than basic page navigation. Our customers tell us they need agents that maintain session state across interactions, route traffic through corporate proxy infrastructure, and run with custom browser configurations. AgentCore Browser provides a secure, isolated browser environment for your agents to interact with web applications. Until now, …
As OpenAI removed access to GPT-4o in its app on Friday, people who have come to rely on the chatbot for companionship are mourning the loss all over the world.
Generative artificial intelligence systems often work in agreement, complimenting the user in its response. But human interactions aren’t typically built on flattery. To help strengthen these conversations, researchers in the USF Bellini College of Artificial Intelligence, Cybersecurity and Computing are challenging the technology to think and debate in ways that resemble human reasoning.
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