Tag

Transformer

All articles tagged with #transformer

technology-graphics15 hours ago•13 min saved

NVIDIA DLSS 4.5 Ray Reconstruction Gets a Smarter Transformer

NVIDIA's DLSS 4.5 adds a second‑generation Ray Reconstruction model that combines denoising and upscaling in one pass using a more capable transformer. The new model has 20% more parameters and 35% more compute, delivers improved denoising with ray/path tracing, and runs with the same hardware requirements on RTX GPUs from the 20-series onward as a driver‑level override (no game patches needed). It also supports deeper scene awareness and better use of motion data, offering potentially crisper ray-traced images without demanding new silicon.

via TechPowerUp|

#dlss-45 #nvidia #ray-reconstruction

technology3 months ago•10 min saved

Amazon won't chase another phone, Panay says

Amazon's devices chief Panos Panay says the company is not pursuing a new smartphone, citing the Fire Phone's failure and emphasizing a strategy to make devices profitable by boosting use of Amazon services and AI rather than launching another phone.

via Ars Technica|

#amazon #devices #fire-phone

technology3 months ago•2 min saved

Amazon Signals Ambiguity on a New Phone Amid Transformer Rumors

Amazon’s head of devices, Panos Panay, says the company isn’t necessarily planning a new smartphone, while not fully denying a project tied to a rumored Alexa-enabled AI phone codenamed Transformer; he notes the smartphone form factor isn’t vanishing but is evolving, and any future device may differ from a traditional phone, likely learning from the Fire Phone and Panay’s Microsoft experience.

via The Verge|

#amazon #fire-phone #panos-panay

technology5 months ago•10 min saved

Amazon plots an AI-first smartphone coded Transformer

Amazon is reportedly developing a new AI-centric smartphone, codenamed Transformer, that would integrate Amazon services and AI features (potentially using Alexa as an OS) to boost usage of its AI products and shopping ecosystem; Reuters cites unnamed sources and notes cost, investment, and release details are unconfirmed, and the project could still be canceled, with no official comment from Amazon.

via Ars Technica|

#ai #amazon #rumors

technology6 months ago•2 min saved

GPT Unpacked: Generative, Pre-trained, Transformer Demystified

GPT stands for Generative Pre-trained Transformer: a generative AI that creates new text, trained on vast datasets before release and refined with human feedback, using transformer neural networks to turn queries into tokens and vectors and prioritize important information for responses. The article notes these models are large language models prone to inheriting biases from training data, and adds that ChatGPT’s name was a late, simplifying choice before its 2022 public launch (originally being called ‘Chat with GPT-3.5’).

via Mental Floss|

#chatgpt #generative-ai #gpt

technology2 years ago•3 min saved

"Google Unveils Gemini 2.0: The Ultimate AI Upgrade for Text and Video"

Google unveils Gemini 1.5, the latest iteration of its AI model, built on a Transformer and Mixture-of-Experts architecture. Gemini 1.5 Pro, designed for a wide range of tasks and devices, can handle larger prompts and outperforms its predecessor on testing benchmarks. It features in-context learning and is currently available for trials through AI Studio and Vertex AI, with a waitlist for interested developers.

via Lifehacker|

#ai #gemini-15 #google

technology3 years ago•2 min saved

Comparing AI Chatbots: Google Bard, ChatGPT, Bing Chat, and Claude.ai

Large language models (LLMs) like ChatGPT are built on neural networks trained using billions of words of ordinary language. While the inner workings of LLMs are not fully understood, experts have made progress in explaining their functioning without technical jargon. LLMs represent words using word vectors, which are long lists of numbers. These models rely on transformers, the basic building blocks, to process and reason about language. Training LLMs requires massive amounts of data to achieve good performance.

via Ars Technica|

#ai #large-language-models #machine-learning