This tutorial is in four parts; they are: • The Core Text Generation Implementation • Contrastive Search: What are the Parameters in Text Generation? • Batch Processing and Padding • Tips for Better Generation Results Let’s start with a basic implementation that demonstrates the fundamental concept.
Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. To achieve optimal performance for specific use cases, customers are adopting and adapting these FMs to their unique domain requirements. This need for customization has become even more pronounced with the emergence of new models, such as those released …
Read more “Customize DeepSeek-R1 distilled models using Amazon SageMaker HyperPod recipes – Part 1”
A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which makes it easier to do a lot of things – from image generation to creative writing. It’s also changed how …
Read more “Use Gemini 2.0 to speed up document extraction and lower costs”
Zoom researchers unveil “chain of draft,” which cuts AI token usage by 92%, transforming the economics of language model deployment.Read More
New SEC filings from pharmaceutical companies reveal Donald Trump and Elon Musk’s cost-cutting measures could slow drug research and delay FDA approvals.
A research team has recently developed a neuromorphic exposure control (NEC) system that enhances machine vision under extreme lighting variations.
If you hate the big camera bump of today’s smartphones, you’ll love the detachable lens of Xiaomi’s Modular Optical System.
If businesses fail to up their cybersecurity game, the systems everyone relies on could face serious and devastating disruptions.Read More
The company’s latest affordable smartphones are thinner and more durable and have a sprinkling of AI.
Synthesizing a novel view from a single input image is a challenging task. Traditionally, this task was approached by estimating scene depth, warping, and inpainting, with machine learning models enabling parts of the pipeline. More recently, generative models are being increasingly employed in novel view synthesis (NVS), often encompassing the entire end-to-end system. In this …
Read more “Novel View Synthesis with Pixel-Space Diffusion Models”