Researchers propose low-latency topologies and processing-in-network as memory and interconnect bottlenecks threaten ...
Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...
“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...
Until now, AI services based on large language models (LLMs) have mostly relied on expensive data center GPUs. This has ...
In a blog post today, Apple engineers have shared new details on a collaboration with NVIDIA to implement faster text generation performance with large language models. Apple published and open ...
While most countries’ lawmakers are still discussing how to put guardrails around artificial intelligence, the European Union is ahead of the pack, having passed a risk-based framework for regulating ...
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How SoundHound's hybrid AI model beats pure LLM players
SoundHound AI’s SOUN competitive edge lies in its hybrid AI architecture, which blends proprietary deterministic models with ...
As I fall farther down the large language model (LLM) rabbit hole, I'm becoming more interested in how LLMs may be redefining not just what we know but also how we know it. These models—trained on ...
The history of computing teaches us that software always and necessarily lags hardware, and unfortunately that lag can stretch for many years when it comes to wringing the best performance out of iron ...
Apple is Working on Running AI on iPhones and iPads Your email has been sent Apple has released two research papers expanding the possibilities of generative AI. One paper solves a problem that was ...
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