Connect with us
The rapid advancement of artificial intelligence (AI) has fundamentally transformed human-technology interactions. These innovations represent a groundbreaking shift in the human-tech nexus, introducing new opportunities and...
Reinforcement learning with human feedback (RLHF) is the standard method for aligning large language models (LLMs) with human preferences — such as the preferences for nontoxic...
When a large language model (LLM) is prompted with a request such as Which medications are likely to interact with St. John’s wort?, it doesn’t search...
Large language models (LLMs) go through several stages of training on mixed datasets with different distributions, stages that include pretraining, instruction tuning, and reinforcement learning from...
At Amazon, responsible AI development includes partnering with leading universities to foster breakthrough research. Recognizing that many academic institutions lack the resources for large-scale studies, we’re...
Code generation — automatically translating natural-language specifications into computer code — is one of the most promising applications of large language models (LLMs). But the more...
One of the most important features of today’s generative models is their ability to take unstructured, partially unstructured, or poorly structured inputs and convert them into...
Database research and development is heavily influenced by benchmarks, such as the industry-standard TPC-H and TPC-DS for analytical systems. However, these 20-year-old benchmarks capture neither how...
The 10 most viewed blog posts of 2024 Large language models remained a hot topic, but posts about cryptography and automated reasoning also drew readers. Staff...
Most of today’s breakthrough AI models are based on the transformer architecture, which is distinguished by its use of an attention mechanism. In a large language...