AWS Machine Learning

FEBRUARY 21, 2025

It consists of the following key components: Speech recognition The customers spoken language is captured and converted into text using Amazon Transcribe , which serves as the speech recognition engine. The transcript (text) is then fed into the machine translation engine.

Engineering 91

Engineering Technical Support Contact Center Feedback 91

Beyond Philosophy

JANUARY 16, 2019

Google Scholar is a search engine dedicated to finding academic research. If you want to benchmark your organization’s performance in the new world of behavioral economics against other companies, take our short questionnaire. We always connect the academic findings to Customer Experience on the podcast (and in our most recent book.)

Customer Experience 279

Customer Experience Benchmark Engineering Consulting 279

AWS Machine Learning

NOVEMBER 22, 2023

Model choices – SageMaker JumpStart offers a selection of state-of-the-art ML models that consistently rank among the top in industry-recognized HELM benchmarks. We also use Vector Engine for Amazon OpenSearch Serverless (currently in preview) as the vector data store to store embeddings. An OpenSearch Serverless collection.

Engineering 120

Engineering Chatbots APIs Benchmark 120

AWS Machine Learning

MARCH 27, 2025

This requirement translates into time and effort investment of trained personnel, who could be support engineers or other technical staff, to review tens of thousands of support cases to arrive at an even distribution of 3,000 per category. Sonnet prediction accuracy through prompt engineering. We expect to release version 4.2.2

Education 90

Education Engineering APIs Enterprise 90

Joe Rawlinson

MAY 17, 2022

Now, the question is—what are the metrics and figures to benchmark for every industry? The higher its quality, the lower its CPC, and the better its position on search engines. As with previous benchmark reports, the numbers have been consistently high for these industries. Average Cost per Click (CPC). Photo by LOCALiQ.

Benchmark 15

Benchmark Advertising Entertainment Real estate 15

AWS Machine Learning

MAY 15, 2024

ONNX Runtime is the runtime engine used for model inference and training with ONNX. We also demonstrate the resulting speedup through benchmarking. Benchmark setup We used an AWS Graviton3-based c7g.4xl 1014-aws kernel) The ONNX Runtime repo provides inference benchmarking scripts for transformers-based language models.

Benchmark 132

Benchmark Scripts Engineering Management 132

AWS Machine Learning

MARCH 4, 2024

Current evaluations from Anthropic suggest that the Claude 3 model family outperforms comparable models in math word problem solving (MATH) and multilingual math (MGSM) benchmarks, critical benchmarks used today for LLMs. Media organizations can generate image captions or video scripts automatically.

Benchmark 145

Benchmark Finance Engineering Enterprise 145

Amity

NOVEMBER 21, 2016

Customer benchmarking — the practice of identifying where a customer can improve or is already doing well by comparing to other customers – helps Customer Success Managers to deliver unique value to their customers. I’ve found that SaaS vendors use seven distinct strategies to empower CSMs with customer benchmarking.

Benchmark 59

Benchmark SaaS Best practices Metrics 59

CSM Magazine

MARCH 26, 2025

Continuous education involves more than glancing at release announcements it includes testing beta features, benchmarking real world results, and actively sharing insights. Engineers versed in the OWASP Top 10 address common security weaknesses with minimal fuss. This method can save hours of coding time and avoid technical debt.

Finance 52

Finance Benchmark Enterprise Surveys 52

AWS Machine Learning

MAY 2, 2024

A common way to select an embedding model (or any model) is to look at public benchmarks; an accepted benchmark for measuring embedding quality is the MTEB leaderboard. The Massive Text Embedding Benchmark (MTEB) evaluates text embedding models across a wide range of tasks and datasets.

Benchmark 127

Benchmark Metrics Enterprise APIs 127

AWS Machine Learning

MARCH 6, 2025

It simplifies data integration from various sources and provides tools for data indexing, engines, agents, and application integrations. You also define a prompt template following Claude prompt engineering guidelines. LlamaIndex is a framework for building LLM applications.

Metrics 84

Metrics Enterprise APIs Engineering 84

AWS Machine Learning

SEPTEMBER 25, 2024

With a focus on responsible innovation and system-level safety, these new models demonstrate state-of-the-art performance on a wide range of industry benchmarks and introduce features that help you build a new generation of AI experiences. Model Name Model ID Default instance type Supported instance types Llama-3.2-1B 32xlarge Llama-3.2-1B-Instruct

Engineering 128

Engineering Benchmark Management Accountability 128

AWS Machine Learning

FEBRUARY 28, 2025

We used the same KPIs as in the previous setup to measure efficiency and performance under these optimized conditions, making sure that cost reduction aligned with our service quality benchmarks. Vladyslav Melnyk is a Senior MLOps Engineer at Automat-it. We conducted the tests in three stages, as described in the following sections.

Benchmark 98

Benchmark Best practices Engineering Technology 98

AWS Machine Learning

NOVEMBER 27, 2023

In this post, we dive deep into the new features with the latest release of LMI DLCs, discuss performance benchmarks, and outline the steps required to deploy LLMs with LMI DLCs to maximize performance and reduce costs. To use SmoothQuant, set option.quantize=smoothquan t with engine = DeepSpeed in serving.properties.

Engineering 117

Engineering Benchmark Scripts Advertising 117

AWS Machine Learning

JUNE 11, 2024

For example, for mixed AI workloads, the AI inference is part of the search engine service with real-time latency requirements. First, we had to experiment and benchmark in order to determine that Graviton3 was indeed the right solution for us. Ratnesh Jamidar is a AVP Engineering at Sprinklr with 8 years of experience.

Engineering 106

Engineering Benchmark Accountability Best practices 106

AWS Machine Learning

NOVEMBER 15, 2024

Use cases we have worked on include: Technical assistance for field engineers – We built a system that aggregates information about a company’s specific products and field expertise. A chatbot enables field engineers to quickly access relevant information, troubleshoot issues more effectively, and share knowledge across the organization.

APIs 117

APIs Engineering Chatbots Construction 117

AWS Machine Learning

MARCH 18, 2025

However, optimizing training performance often requires weeks of iterative testingexperimenting with algorithms, fine-tuning parameters, monitoring training impact, debugging issues, and benchmarking performance.

Government 105

Government Healthcare Technology Finance 105

CX Global Media

SEPTEMBER 17, 2018

They Avoid Benchmarking: High-performing contact center leaders do not waste a lot of time benchmarking their contact center performance. Leaders in these contact centers do not forklift leading practices, they elect to quickly re- engineer practices to fit their environment and purpose. They strive for differentiation.

Contact Center 113

Contact Center Benchmark Surveys Coaching 113

AWS Machine Learning

JULY 15, 2024

The buffer was implemented after benchmarking the captioning model’s performance. The benchmarking revealed that the model performed optimally when processing batches of images, but underperformed when analyzing individual images. About the authors Vlad Lebedev is a Senior Technology Leader at Mixbook.

Personalization 121

Personalization Engineering Benchmark Analytics 121

AWS Machine Learning

MAY 15, 2024

Acting as a model hub, JumpStart provided a large selection of foundation models and the team quickly ran their benchmarks on candidate models. Here, Amazon SageMaker Ground Truth allowed ML engineers to easily build the human-in-the-loop workflow (step v). Burak is still a research affiliate in MIT. With a background in visual design.

Advertising 129

Advertising APIs Engineering Benchmark 129

AWS Machine Learning

JULY 15, 2024

Welocalize benchmarks the performance of using LLMs and machine translations and recommends using LLMs as a post-editing tool. in Mechanical Engineering from the University of Notre Dame. Max Goff is a data scientist/data engineer with over 30 years of software development experience. She received her Ph.D.

Engineering 121

Engineering Entertainment Big data APIs 121

AWS Machine Learning

FEBRUARY 11, 2025

Recommended instances and benchmarks The following table lists all the Meta SAM 2.1 Conclusion In this post, we explored how SageMaker JumpStart empowers data scientists and ML engineers to discover, access, and deploy a wide range of pre-trained FMs for inference, including Metas most advanced and capable models to date. models today.

Engineering 81

Engineering Construction Benchmark Healthcare 81

AWS Machine Learning

MAY 10, 2023

We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking. You can use the sample notebook to run the benchmarks and reproduce the results. Mohan Gandhi is a Senior Software Engineer at AWS.

Benchmark 97

Benchmark Best practices Engineering Scripts 97

AWS Machine Learning

MAY 13, 2024

In this part of the blog series, we review techniques of prompt engineering and Retrieval Augmented Generation (RAG) that can be employed to accomplish the task of clinical report summarization by using Amazon Bedrock. Prompt engineering helps to effectively design and improve prompts to get better results on different tasks with LLMs.

Healthcare 131

Healthcare Engineering APIs Benchmark 131

AWS Machine Learning

JUNE 20, 2023

Machine learning (ML) engineers have traditionally focused on striking a balance between model training and deployment cost vs. performance. Therefore, we used common customer-inspired ML use cases for benchmarking and testing. Performance, Cost and Energy Efficiency Results of Inference Benchmarks AWS Inferentia delivers 6.3

Benchmark 93

Benchmark Engineering Banking Chatbots 93

Hodusoft

NOVEMBER 6, 2024

Performance in a contact center refers to how effectively agents manage calls, resolve issues, and meet established benchmarks. HoduCC call and contact center software is engineered to enhance agents’ performance. Set benchmarks against industry standards and collect as much valuable insights as possible.

Best practices 52

Best practices Contact Center Contact center software Abandon rate 52

AWS Machine Learning

NOVEMBER 30, 2023

You can get guidance on the hardware for best price/performance ratio to deploy your endpoint by running a SageMaker Inference Recommender benchmarking job. Alwin (Qiyun) Zhao is a Senior Software Development Engineer with the Amazon SageMaker Inference Platform team. You can expand the Advanced options section to see more options.

Benchmark 127

Benchmark APIs Scripts Engineering 127

AWS Machine Learning

APRIL 22, 2024

Figure 5 offers an overview on generative AI modalities and optimization strategies, including prompt engineering , Retrieval Augmented Generation , and fine-tuning or continued pre-training. Establish a metrics pipeline to provide insights into the sustainability contributions of your generative AI initiatives.

Best practices 136

Best practices Benchmark Transportation Engineering 136

Spearline

JANUARY 6, 2022

But, many engineering teams have had their fire fighting experiences. Quality levels before a migration can be used as a benchmark to gain full visibility of the impact of infrastructure changes. Cloud solutions boast high reliability and present very compelling arguments. On-premises solutions have their imperfections as well.

Call flow 122

Call flow Contact Center Benchmark contact center solutions 122

Spearline

FEBRUARY 2, 2021

Assure your customers with an independent quality benchmark. Benchmarks will need to be met against a number of test criteria for each country in order to be certified in that country. Country-by-country benchmarks on audio quality, connection rates and post-dial delay. Improve your quality management. Global Expansion.

Benchmark 95

Benchmark Telecommunications Engineering Quality management 95

AWS Machine Learning

JULY 24, 2024

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. To get started, see this guide. __ About the Authors Pawan Agarwal is the Senior Director of Software Engineering at Salesforce. Salesforce, Inc.

Engineering 127

Engineering CRM SaaS Sales 127

AWS Machine Learning

OCTOBER 11, 2023

To activate continuous batching, DJServing provides the following additional configurations as per serving.properties: engine =MPI – We encourage you to use the MPI engine for continuous batching. In our analysis, we benchmarked the performance to illustrate the benefits of continuous batching over traditional dynamic batching.

Engineering 119

Engineering Benchmark Enterprise Advertising 119

AWS Machine Learning

OCTOBER 4, 2022

With G5 instances, ML customers get high performance and a cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing (NLP), computer vision (CV), and recommender engine use cases. Benchmarking approach. Benchmarking results. Model Type. twmkn9/bert-base-uncased-squad2.

Benchmark 84

Benchmark Engineering Metrics Technology 84

AWS Machine Learning

SEPTEMBER 25, 2023

You can fine-tune the following parameters in serving.properties of the LMI container for using continuous batching: engine – The runtime engine of the code. The following diagram shows the dynamic batching of requests with different input sequence lengths being processed together by the model. Use MPI to enable continuous batching.

Engineering 120

Engineering Benchmark Enterprise Management 120

AWS Machine Learning

DECEMBER 4, 2023

A model that generates a comprehensive category tree allows our commercial teams to benchmark our existing product portfolio against that of our competitors, offering a strategic advantage. About the Authors Nafi Ahmet Turgut finished his master’s degree in Electrical & Electronics Engineering and worked as a graduate research scientist.

Engineering 119

Engineering Analytics Benchmark Big data 119

AWS Machine Learning

APRIL 17, 2023

Prompt engineering Prompt engineering refers to efforts to extract accurate, consistent, and fair outputs from large models, such text-to-image synthesizers or large language models. For more information, refer to EMNLP: Prompt engineering is the new feature engineering.

Engineering 99

Engineering Benchmark Scripts industry standards 99

AWS Machine Learning

FEBRUARY 8, 2023

The procedure is further simplified with the use of Inference Recommender , a right-sizing and benchmarking tool built inside SageMaker. However, you can use any other benchmarking tool. Benchmarking To derive the right scaling policy, the first step in the plan is to determine application behavior on the chosen hardware.

Benchmark 97

Benchmark Metrics APIs Engineering 97