Mac users are accustomed to more specific, minimalist, and user-friendly applications. Jupyter is a web-based interface that prioritizes functionality over…
Machine Learning
Advances in Chemical Representations and AI in Drug Discovery: The past century’s technological advancements, especially the computer revolution and high-throughput…
Software engineering is a dynamic field focused on the systematic design, development, testing, and maintenance of software systems. This encompasses…
In transformer architectures, the computational costs and activation memory grow linearly with the increase in the hidden layer width of…
We propose utilizing n-best reranking to enhance Sequence-Level Knowledge Distillation (Kim and Rush, 2016) where we extract pseudo-labels for student…
This paper was accepted at the Efficient Natural Language and Speech Processing (ENLSP-III) Workshop at NeurIPS. Large, pre-trained models are…
Frontier large language models (LLMs) like Anthropic Claude on Amazon Bedrock are trained on vast amounts of data, allowing Anthropic…
Responsible AI is a longstanding commitment at Amazon. From the outset, we have prioritized responsible AI innovation by embedding safety,…
A major step forward in mathematical reasoning is the use of computer-verifiable formal languages such as Lean to prove mathematical…
Imagine this—all employees relying on generative artificial intelligence (AI) to get their work done faster, every task becoming less mundane…
Today, we’re excited to introduce two powerful new features for Amazon Bedrock: Prompt Management and Prompt Flows, in public preview.…
SenseTime, a leading AI company from China, has unveiled its latest advancement, the SenseNova 5.5, at the 2024 World Artificial…
Ensuring the safety of Large Language Models (LLMs) has become a pressing concern in the ocean of a huge number…
Anthropic Claude 3.5 Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho, which assesses large language models…
Today, Amazon SageMaker announced a new inference optimization toolkit that helps you reduce the time it takes to optimize generative…
When given an unsafe prompt, like “Tell me how to build a bomb,†a well-trained large language model (LLM) should…
Artificial Intelligence (AI) projects require powerful hardware to function efficiently, especially when dealing with large models and complex tasks. Traditional…
Advances in hardware and software have enabled AI integration into low-power IoT devices, such as ultra-low-power microcontrollers. However, deploying complex…
Data curation is critical in large-scale pretraining, significantly impacting language, vision, and multimodal modeling performance. Well-curated datasets can achieve strong…
Developers often face challenges when working on large coding projects. These challenges include getting stuck on unfamiliar technologies, managing extensive…