Remove 2024 Remove Benchmark Remove Metrics
article thumbnail

Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

Using its enterprise software, FloTorch conducted an extensive comparison between Amazon Nova models and OpenAIs GPT-4o models with the Comprehensive Retrieval Augmented Generation (CRAG) benchmark dataset. OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024.

Benchmark 103
article thumbnail

Top 5 Customer Service & CX Articles for Week of January 26, 2025

ShepHyken

According to Forresters Consumer Benchmark Survey, 2024, 54% of US online adults agree that loyalty programs influence what they buy, and 64% agree that programs influence where they make purchases. Are Your CX Metrics Hurting Your Customer Experience? There are ongoing discussions about which CX metric is the best.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Elevate customer experience by using the Amazon Q Business custom plugin for New Relic AI

AWS Machine Learning

According to New Relic’s 2024 Observability Forecast , businesses face a median annual downtime of 77 hours from high-impact outages. It examines service performance metrics, forecasts of key indicators like error rates, error patterns and anomalies, security alerts, and overall system status and health. million per hour.

article thumbnail

Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

Gain insights into training strategies, productivity metrics, and real-world use cases to empower your developers to harness the full potential of this game-changing technology. Discover how to create and manage evaluation jobs, use automatic and human reviews, and analyze critical metrics like accuracy, robustness, and toxicity.

APIs 96
article thumbnail

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 125
article thumbnail

Optimizing AI responsiveness: A practical guide to Amazon Bedrock latency-optimized inference

AWS Machine Learning

During re:Invent 2024, we launched latency-optimized inference for foundation models (FMs) in Amazon Bedrock. To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics are shown in the following diagram.

article thumbnail

Reimagining software development with the Amazon Q Developer Agent

AWS Machine Learning

This post describes how to get started with the software development agent, gives an overview of how the agent works, and discusses its performance on public benchmarks. This is an overview of the system as of May 2024. A single metric never tells the whole story. The success metric for SWE-bench is binary.

Benchmark 134