AWS Machine Learning

FEBRUARY 21, 2025

Compound AI system and the DSPy framework With the rise of generative AI, scientists and engineers face a much more complex scenario to develop and maintain AI solutions, compared to classic predictive AI. In the next section, we discuss using a compound AI system to implement this framework to achieve high versatility and reusability.

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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 92

Engineering Technical Support Contact Center Feedback 92

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.)

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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 121

Engineering Chatbots Benchmark APIs 121

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 108

Education Engineering APIs Enterprise 108

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.

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Benchmark Advertising Entertainment Real estate 15

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.

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Metrics Enterprise APIs Engineering 111

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.

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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.

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Benchmark Finance Engineering Enterprise 144

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.

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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.

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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

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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 111

Government Healthcare Technology Finance 111

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.

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Benchmark Best practices Engineering Technology 98

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 119

APIs Engineering Chatbots Construction 119

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 118

Engineering Benchmark Scripts Advertising 118

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

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.

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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 123

Personalization Engineering Benchmark Analytics 123

AWS Machine Learning

DECEMBER 5, 2023

Model training benchmarks In large-scale training jobs where GPU communication is a significant bottleneck, SMDDP can markedly improve training speeds, as measured by model TFLOPS/GPU. Karan Dhiman is a Software Development Engineer at AWS, based in Toronto, Canada. 24xlarge nodes (512 NVIDIA A100 GPUs) PyTorch FSDP 97.89

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Benchmark Engineering Scripts Metrics 110

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.

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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 84

Engineering Construction Benchmark Healthcare 84

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 122

Engineering Entertainment Big data Benchmark 122

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.

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Benchmark Best practices Engineering Scripts 95

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

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.

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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

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AWS Machine Learning

MAY 9, 2024

Benchmarking and metrics – Defining standardized metrics and benchmarking to measure and compare the performance of AI models, and the business value derived. An example KPI is model accuracy: assessing models against benchmarks provides reliable and trustworthy AI-generated outcomes. Vikram Elango is a Sr.

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Government Best practices Benchmark Metrics 131

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.

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Best practices Benchmark Transportation Engineering 135

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.

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Call flow Contact Center Benchmark contact center solutions 122

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.

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Engineering CRM SaaS Sales 129

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.

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Benchmark Telecommunications Engineering Quality management 95

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 121

Engineering Benchmark Enterprise Advertising 121

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 121

Engineering Analytics Benchmark Big data 121

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 121

Engineering Benchmark Enterprise Management 121

AWS Machine Learning

MAY 7, 2024

Rather than requiring extensive feature engineering and dataset labeling, LLMs can be fine-tuned on small amounts of domain-specific data to quickly adapt to new use cases. This post walks through examples of building information extraction use cases by combining LLMs with prompt engineering and frameworks such as LangChain.

Engineering 122

Engineering Chatbots Technical Support Best practices 122