Building LLM Applications with Hugging Face Endpoints and FastAPI
FastAPI is a modern and high-performance compliant web framework for building APIs with Python.
FastAPI is a modern and high-performance compliant web framework for building APIs with Python.
Part 3: System Strategies and Architecture By: Varun Khaitan With special thanks to my stunning colleagues: Mallika Rao, Esmir Mesic, Hugo Marques This blog post is a continuation of Part 2, where we cleared the ambiguity around title launch observability at Netflix. In this installment, we will explore the strategies, tools, and methodologies that were employed to …
Building cloud infrastructure based on proven best practices promotes security, reliability and cost efficiency. To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. As systems scale, conducting thorough AWS Well-Architected Framework Reviews (WAFRs) becomes even more crucial, offering deeper insights and strategic value to help organizations optimize …
Read more “Accelerate AWS Well-Architected reviews with Generative AI”
Contextual AI launches its Grounded Language Model (GLM) that achieves 88% factual accuracy, outperforming major competitors while minimizing hallucinations for enterprise applications.Read More
The imposition of tariffs on Mexico and Canada represents a violation of the USMCA and could trigger a tariff war, experts say.
Researchers have demonstrated that multicolored stickers applied to stop or speed limit signs on the roadside can ‘confuse’ self-driving vehicles, causing unpredictable and possibly hazardous operations.
A small team of AI engineers at Zoom Communications has developed a new approach to training AI systems that uses far fewer resources than the standard approach now in use. The team has published their results on the arXiv preprint server.
Data preparation is a step within the data project lifecycle where we prepare the raw data for subsequent processes, such as data analysis and machine learning modeling.
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”