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UCSD and Together AI Research Introduces Parcae: A Stable Architecture for Looped Language Models That Achieves the Quality of a Transformer Twice the Size
The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add more parameters, train on more…
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5 Practical Tips for Transforming Your Batch Data Pipeline into Real-Time: Upcoming Webinar
This post brings you five practical tips to make the most of…
Google AI Launches Gemini 3.1 Flash TTS: A New Benchmark in Expressive and Controllable AI Voice
Google has introduced Gemini 3.1 Flash TTS, a preview text-to-speech model focused…
Gemini 3.1 Flash TTS: New text-to-speech AI model
Today, we’re introducing Gemini 3.1 Flash TTS, the latest text-to-speech model that…
A Technical Deep Dive into the Essential Stages of Modern Large Language Model Training, Alignment, and Deployment
Training a modern large language model (LLM) is not a single step…
Prefill Is Compute-Bound. Decode Is Memory-Bound. Why Your GPU Shouldn’t Do Both.
a large enterprise size a Kubernetes cluster for real-time inference on their…
From Pixels to DNA: Why the Future of Compression Is About Every Kind of Data
It’s not about audio and video anymore about compression as an audio/video problem;…
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