South Korean AI startups are embracing a new wave of cost-effective, high-performance inference models, as advancements in ...

This can be seen as a form of bounded rationality in which agents seek to optimize the accuracy of their beliefs subject to computational and other resource costs. We show through simulation that this ...

Chinese companies are ramping up orders for Nvidia's H20 artificial intelligence chip due to booming demand for DeepSeek's ...

Any buy, sell, or other recommendations mentioned in the article are direct quotations of consensus recommendations from the analysts covering the stock, and do not represent the opinions of Market ...

This work sets the stage for future experiments to investigate active inference in relation to other formulations of evidence accumulation (e.g., drift-diffusion models) in tasks that require planning ...

2024.04 🔥🔥🔥[Open-Sora] Open-Sora: Democratizing Efficient Video Production for All(@hpcaitech) [docs] [Open-Sora] ⭐️⭐️ 2024.04 🔥🔥🔥[Open-Sora Plan] Open-Sora Plan: This project aim to reproduce ...

DeepSeek majorly impacted Nvidia last month: its market cap dropped by $600B in one day. The chip giant will respond on this week's investors' call." ...

After cloning this repository, you can install the package dependencies for this book with: ...

“Integrating Jina AI’s embeddings and reranker models with the Elasticsearch Open Inference API brings enterprise ... N.V. and its subsidiaries. All other company and product names may be ...

Startup EnCharge AI raised over $100 million in Series B funding to develop energy-efficient AI inference chips for edge ...

Look closely at this image, stripped of its caption, and join the moderated conversation about what you and other students see. By The Learning Network Look closely at this image, stripped of ...

LLM inference is highly resource-intensive, requiring substantial memory and computational power. To address this, various model parallelism strategies distribute workloads across multiple GPUs, ...