AWS Machine Learning - AI

OCTOBER 16, 2024

As DPG Media grows, they need a more scalable way of capturing metadata that enhances the consumer experience on online video services and aids in understanding key content characteristics. The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows.

Media 103

Media Video Artificial Inteligence Generative AI 103

CIO

FEBRUARY 11, 2025

Add to this the escalating costs of maintaining legacy systems, which often act as bottlenecks for scalability. The latter option had emerged as a compelling solution, offering the promise of enhanced agility, reduced operational costs, and seamless scalability. Scalability. Scalability. Cost forecasting. The results?

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Serverless Architecture Microservices Scalability 155

AWS Machine Learning - AI

APRIL 10, 2025

The introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline.

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AWS Machine Learning - AI

DECEMBER 2, 2024

In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). You’ll learn about the key benefits of Container Caching, including faster scaling, improved resource utilization, and potential cost savings.

Generative AI 86

Generative AI Artificial Inteligence Machine Learning AWS 86

Perficient

NOVEMBER 20, 2024

Introduction to Multiclass Text Classification with LLMs Multiclass text classification (MTC) is a natural language processing (NLP) task where text is categorized into multiple predefined categories or classes. Traditional approaches rely on training machine learning models, requiring labeled data and iterative fine-tuning.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

This innovative service goes beyond traditional trip planning methods, offering real-time interaction through a chat-based interface and maintaining scalability, reliability, and data security through AWS native services. An agent uses the power of an LLM to determine which function to execute, and output the result based on the prompt guide.

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AWS Machine Learning - AI

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

Artificial Inteligence 81

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AWS Machine Learning - AI

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions. The training jobs used an ml.p3dn.24xlarge

Artificial Inteligence 108

Artificial Inteligence Pharmaceuticals Healthcare AWS 108

Palo Alto Networks

APRIL 2, 2024

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

This visibility is essential for setting accurate pricing for generative AI offerings, implementing chargebacks, and establishing usage-based billing models. Without a scalable approach to controlling costs, organizations risk unbudgeted usage and cost overruns.

Generative AI 126

Generative AI AWS Artificial Inteligence Budget 126

Xebia

FEBRUARY 23, 2025

By boosting productivity and fostering innovation, human-AI collaboration will reshape workplaces, making operations more efficient, scalable, and adaptable. We observe that the skills, responsibilities, and tasks of data scientists and machine learning engineers are increasingly overlapping.

Trends 130

Trends Data Artificial Inteligence Weak Development Team 130

CIO

DECEMBER 6, 2023

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. We think this is a mistake, as the success of GenAI projects will depend in large part on smart choices around this layer.

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CIO

APRIL 16, 2025

tagging, component/application mapping, key metric collection) and tools incorporated to ensure data can be reported on sufficiently and efficiently without creating an industry in itself! to identify opportunities for optimizations that reduce cost, improve efficiency and ensure scalability.

Technical Review 172

Technical Review Enterprise Strategy Innovation 172

Luis Goncalves

APRIL 11, 2025

This isn’t merely about hiring more salespeopleit’s about creating scalable systems efficiently converting prospects into customers. Software as a Service (SaaS) Ventures SaaS businesses represent the gold standard of scalable business ideas, offering cloud-based solutions on subscription models.

Weak Development Team 165

Weak Development Team Technical Review Sustainability Systems Review 165

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. All of this data is centralized and can be used to improve metrics in scenarios such as sales or call centers.

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Generative AI Video Engineering Artificial Inteligence 98

AWS Machine Learning - AI

MARCH 14, 2025

Organizations building and deploying AI applications, particularly those using large language models (LLMs) with Retrieval Augmented Generation (RAG) systems, face a significant challenge: how to evaluate AI outputs effectively throughout the application lifecycle.

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Knowledge Base Applications Artificial Inteligence Generative AI 84

AWS Machine Learning - AI

MARCH 11, 2025

DeepSeek-R1 is a large language model (LLM) developed by DeepSeek AI that uses reinforcement learning to enhance reasoning capabilities through a multi-stage training process from a DeepSeek-V3-Base foundation. See the following GitHub repo for more deployment examples using TGI, TensorRT-LLM, and Neuron.

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AWS Machine Learning - AI

JULY 24, 2024

Large language models (LLMs) have achieved remarkable success in various natural language processing (NLP) tasks, but they may not always generalize well to specific domains or tasks. You may need to customize an LLM to adapt to your unique use case, improving its performance on your specific dataset or task.

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Artificial Inteligence Generative AI Training AWS 116

TechCrunch

JULY 15, 2021

Then in 2019, the state of technology was such that Li and co-founders Daniel Chen and Jeremy Huang could create data extraction capabilities through the use of artificial intelligence-driven software. Its intelligent automation approach eliminates the cost bloat and makes data extraction scalable, accurate and referenceable.”.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. The flexible, scalable nature of AWS services makes it straightforward to continually refine the platform through improvements to the machine learning models and addition of new features.

Generative AI 111

Generative AI AWS Groups Artificial Inteligence 111

AWS Machine Learning - AI

NOVEMBER 7, 2024

You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Prompt catalog – Crafting effective prompts is important for guiding large language models (LLMs) to generate the desired outputs. It’s serverless so you don’t have to manage the infrastructure.

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Generative AI AWS Enterprise Artificial Inteligence 99

AWS Machine Learning - AI

MARCH 5, 2025

These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques. To learn more about FMEval, see Evaluate large language models for quality and responsibility of LLMs.

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Generative AI Systems Review Software Review Artificial Inteligence 73

CIO

FEBRUARY 4, 2025

This surge is driven by the rapid expansion of cloud computing and artificial intelligence, both of which are reshaping industries and enabling unprecedented scalability and innovation. Standardized metrics. Multiple metrics. Global IT spending is expected to soar in 2025, gaining 9% according to recent estimates.

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Sustainability Technical Review Architecture Fractional CTO 156

AWS Machine Learning - AI

APRIL 24, 2024

To increase training samples for better learning, we also used another LLM to generate feedback scores. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. Other users provided scores and explained how they justify the LLM answers in their notes.

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Artificial Inteligence Engineering Performance Construction 121

AWS Machine Learning - AI

JANUARY 29, 2025

Their DeepSeek-R1 models represent a family of large language models (LLMs) designed to handle a wide range of tasks, from code generation to general reasoning, while maintaining competitive performance and efficiency. Review the model response and metrics provided.

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AWS Machine Learning - AI

MARCH 11, 2025

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. Large language models (LLMs) are generally proficient in responding to user queries, but they sometimes generate overly broad or inaccurate responses. Each provisioned node was r7g.4xlarge,

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Artificial Inteligence Knowledge Base Comparison Generative AI 87

AWS Machine Learning - AI

OCTOBER 29, 2024

Observability refers to the ability to understand the internal state and behavior of a system by analyzing its outputs, logs, and metrics. Although the implementation is straightforward, following best practices is crucial for the scalability, security, and maintainability of your observability infrastructure.

Generative AI 96

Generative AI Applications AWS Knowledge Base 96

Netflix Tech

NOVEMBER 11, 2022

Many users across many platforms make for a uniquely large attack surface that includes content fraud, account fraud, and abuse of terms of service. Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. The features mainly belong to two distinct classes.

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AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA also offers a logic/keyword-based rules engine for classifying customer interactions based on other factors such as timing or process steps including metrics like Average Handle Time (AHT), compliance or process checks, and SLA adherence. Success metrics The early results have been remarkable.

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Generative AI CTO Coach AWS Artificial Inteligence 97

CIO

DECEMBER 6, 2024

Muthukrishnan and his team developed three simple guiding principles: Experiment with intern-facing use cases first, always have a human in the middle, and never expose any Ally data externally to LLMs. A secure, reliable and scalable platform from which to run all AI applications. Whats under the hood Ally built Ally.ai

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Artificial Inteligence Technical Review Azure Banking 183

Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Case study: scaling match cutting using the media ML infra The Media Machine Learning Infrastructure is empowering various scenarios across Netflix, and some of them are described here.

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Machine Learning Artificial Inteligence Media Video 119

AWS Machine Learning - AI

MARCH 3, 2025

The architectures modular design allows for scalability and flexibility, making it particularly effective for training LLMs that require distributed computing capabilities. The SageMaker training job will compute ROUGE metrics for both the base DeepSeek-R1 Distill Qwen 7B model and the fine-tuned one.

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AWS Machine Learning - AI

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. These models are designed to provide advanced NLP capabilities for various business applications. Salesforce, Inc.

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Artificial Inteligence Performance Open Source Machine Learning 115

Netflix Tech

DECEMBER 17, 2024

DataJunction: Unifying Experimentation and Analytics Yian Shang , AnhLe At Netflix, like in many organizations, creating and using metrics is often more complex than it should be. DJ acts as a central store where metric definitions can live and evolve. As an example, imagine an analyst wanting to create a Total Streaming Hours metric.

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Analytics Engineering Survey Metrics 84

AWS Machine Learning - AI

MARCH 20, 2025

The Asure team was manually analyzing thousands of call transcripts to uncover themes and trends, a process that lacked scalability. Staying ahead in this competitive landscape demands agile, scalable, and intelligent solutions that can adapt to changing demands. and Anthropics Claude Haiku 3.

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Generative AI Artificial Inteligence Metrics AWS 69

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

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