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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. For example, there could be leakage of benchmark datasets’ questions and answers into training data. Anthropic Claude 3.5 Kensho is the AI Innovation Hub for S&P Global. Anthropic Claude 3.5

Finance 124
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Transition your Amazon Forecast usage to Amazon SageMaker Canvas

AWS Machine Learning

Launched in August 2019, Forecast predates Amazon SageMaker Canvas , a popular low-code no-code AWS tool for building, customizing, and deploying ML models, including time series forecasting models. You can also take advantage of its data flow feature to connect with external data providers’ APIs to import data, such as weather information.

APIs 119
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4 Key Strategies for Effective Customer Experience Management

Upstream Works

Establishing customer trust and loyalty is the single most important aspect of customer experience, according to the Dimension Data 2019 Global Customer Experience Benchmarking Report. When we speak of Customer Experience (CX) and strategies for improving it, we need to clearly define the inherent business value.

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A review of purpose-built accelerators for financial services

AWS Machine Learning

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. The CUDA API and SDK were first released by NVIDIA in 2007. GPU PBAs, 4% other PBAs, 4% FPGA, and 0.5%

Benchmark 114
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The 13 Best AI Chatbots for Business in 2021 and Beyond [Review and Key Features]

Netomi

CSML helps developers build and deploy chatbots easily with its expressive syntax and its capacity to connect to any third party API. The creation of custom skills is a trend that has exploded: Amazon grew from 130 skills to over 100,000 skills as of September 2019 in just over three years. Key features: . Company Background.

Chatbots 126
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AWS Inferentia2 builds on AWS Inferentia1 by delivering 4x higher throughput and 10x lower latency

AWS Machine Learning

The first generation of AWS Inferentia, a purpose-built accelerator launched in 2019, is optimized to accelerate deep learning inference. GPSIMD-Engine – Has eight fully programmable 512-bit wide general-purpose processors for you to create your custom operators with standard PyTorch custom C++ operators API. xlarge: $0.7582/hr; inf1.xlarge:

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning

This dataset consists of human and machine annotated airborne images collected by the Civil Air Patrol in support of various disaster responses from 2015-2019. Two key distinctions are the low altitude, oblique perspective of the imagery and disaster-related features, which are rarely featured in computer vision benchmarks and datasets.

APIs 101