Basic arithmetic ability lives in the memorization pathways, not logic circuits.

Large language models (LLMs) are increasingly used not only to generate content but also to evaluate it. They are asked to grade essays, moderate social media content, summarize reports, screen job applications and much more.

/PRNewswire/ -- As gentle heat wraps around you, you walk barefoot to bathroom and enjoy an instant hot shower—no waiting, no cold shock. Every corner indoors...

While rising compute costs are perceived as an AI adoption barrier, latency, flexibility, and capacity pose tougher challenges for leading companies. Wonder, a food delivery company, finds capacity, not AI costs, their primary concern due to skyrocketing demand. They initially assumed unlimited cloud capacity but were shocked by providers' signals to move to a second region. Recursion, a biotech firm, balances on-premises clusters and cloud for flexible experimentation, highlighting the shift from AI cost to deployment speed. This company's hybrid approach allows for efficient management of both small and large-scale training needs. Wonder aims for personalized AI agents but finds the current cost of micro-models economically unfeasible. Budgeting for AI remains an art, balancing experimentation with cost control, especially with the rapid pace of new model development. Recursion initially built its own AI infrastructure due to limited cloud offerings, using gaming GPUs that are still in use today. They use on-premise clusters for large workloads demanding fully connected networks and high parallel file systems. Recursion finds on-premise solutions significantly cheaper for large workloads, urging firms to commit to AI for cost-effective solutions.

Multi-spectral imagery, which captures wavelengths beyond human vision, offers a "superhuman" way to understand the world, and Google's Gemini models make this accessible without specialized training.

Deep Agents in JS. Contribute to langchain-ai/deepagentsjs development by creating an account on GitHub.

Seoul National University College of Engineering announced that a research team led by Professor Hyun Oh Song from the Department of Computer Science and Engineering has developed a new AI technology called KVzip that intelligently compresses the conversation memory of large language model (LLM)-based chatbots used in long-context tasks such as extended dialog and document summarization.

Artificial intelligence offers the potential to improve people’s living standards. Such advances can be approximated by changes in GDP per capita over time. Using that common measure, AI could enhance...