FAANG

Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some…

2 years ago

Thinking Outside the (Black) Box

Thinking Outside the (Black) Box: Building More Transparent and Explainable AI Systems in AIP(Engineering Responsible AI , #2)Advanced LLMs display incredible capabilities for…

2 years ago

Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas

As the scale and complexity of data handled by organizations increase, traditional rules-based approaches to analyzing the data alone are…

2 years ago

Experimenting with Gemini 1.5 Pro and vulnerability detection

Unpatched software vulnerabilities can have serious consequences. At Google Cloud, we want developers to reduce the risks they face by…

2 years ago

ACL Conference 2024

Apple is sponsoring the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person from August…

2 years ago

How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

This post is co-written by Kevin Plexico and Shakun Vohra from Deltek. Question and answering (Q&A) using documents is a…

2 years ago

Generating Gender Alternatives in Machine Translation

This paper was accepted at the 5th Workshop on Gender Bias in Natural Language Processing 2024. Machine translation (MT) systems…

2 years ago

Cisco achieves 50% latency improvement using Amazon SageMaker Inference faster autoscaling feature

This post is co-authored with Travis Mehlinger and Karthik Raghunathan from Cisco. Webex by Cisco is a leading provider of…

2 years ago

Improve AI assistant response accuracy using Knowledge Bases for Amazon Bedrock and a reranking model

AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs).…

2 years ago

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Large language models are trained on massive scrapes of the web, which are often unstructured, noisy, and poorly phrased. Current…

2 years ago