AWS Machine Learning - AI

APRIL 10, 2025

Demystifying RAG and model customization RAG is a technique to enhance the capability of pre-trained models by allowing the model access to external domain-specific data sources. Unlike fine-tuning, in RAG, the model doesnt undergo any training and the model weights arent updated to learn the domain knowledge.

Case Study 122

Case Study Artificial Inteligence Study Generative AI 122

CIO

JUNE 11, 2024

The pressure is on for CIOs to deliver value from AI, but pressing ahead with AI implementations without the necessary workforce training in place is a recipe for falling short of their goals. For many IT leaders, being central to organization-wide training initiatives may be new territory. “At

Training 197

Training Nonprofit Generative AI Artificial Inteligence 197

CIO

APRIL 23, 2025

Delta Lake: Fueling insurance AI Centralizing data and creating a Delta Lakehouse architecture significantly enhances AI model training and performance, yielding more accurate insights and predictive capabilities. A critical consideration emerges regarding enterprise AI platform implementation.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

JANUARY 6, 2025

Wetmur says Morgan Stanley has been using modern data science, AI, and machine learning for years to analyze data and activity, pinpoint risks, and initiate mitigation, noting that teams at the firm have earned patents in this space. I am excited about the potential of generative AI, particularly in the security space, she says.

Generative AI 210

Generative AI Artificial Inteligence Innovation Off-The-Shelf 210

AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. The TAT-QA dataset has been divided into train (28,832 rows), dev (3,632 rows), and test (3,572 rows).

Artificial Inteligence 97

Artificial Inteligence Generative AI Training Metrics 97

CIO

MARCH 18, 2025

The company has post-trained its new Llama Nemotron family of reasoning models to improve multistep math, coding, reasoning, and complex decision-making. Post-training is a set of processes and techniques for refining and optimizing a machine learning model after its initial training on a dataset.

Artificial Inteligence 139

Artificial Inteligence Microservices Data Center Azure 139

John Snow Labs

APRIL 29, 2025

What was once a preparatory task for training AI is now a core part of a continuous feedback and improvement cycle. Training compact, domain-specialized models that outperform general-purpose LLMs in areas like healthcare, legal, finance, and beyond. Todays annotation tools are no longer just for labeling datasets.

Artificial Inteligence 52

Artificial Inteligence Training Tools Generative AI 52

AWS Machine Learning - AI

MARCH 3, 2025

Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others. However, customizing DeepSeek models effectively while managing computational resources remains a significant challenge.

Artificial Inteligence 94

Artificial Inteligence Generative AI AWS Training 94

CIO

NOVEMBER 27, 2024

But that’s exactly the kind of data you want to include when training an AI to give photography tips. Conversely, some of the other inappropriate advice found in Google searches might have been avoided if the origin of content from obviously satirical sites had been retained in the training set.

Data 211

Data Enterprise Weak Development Team Software Review 211

AWS Machine Learning - AI

APRIL 22, 2025

Over the past several months, we drove several improvements in intelligent prompt routing based on customer feedback and extensive internal testing. In this blog post, we detail various highlights from our internal testing, how you can get started, and point out some caveats and best practices. Lets dive in! v1, Haiku 3.5, Sonnet 3.5

Artificial Inteligence 110

Artificial Inteligence AWS Generative AI Metrics 110

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 103

Artificial Inteligence AWS Machine Learning Load Balancer 103

CIO

APRIL 16, 2025

Automation: Maximizing tools and practices in the delivery environments like IAC, CICD, DevOps, SecOps and Test Automation aligned with the technology and cloud provider stacks and enable sustainable agile delivery. This requires close attention to the detail, auditing/testing, planning and designing upfront.

Technical Review 186

Technical Review Enterprise Strategy Innovation 186

AWS Machine Learning - AI

DECEMBER 6, 2024

You can try these models with SageMaker JumpStart, a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Both pre-trained base and instruction-tuned checkpoints are available under the Apache 2.0

Artificial Inteligence 104

Artificial Inteligence AWS Generative AI Training 104

AWS Machine Learning - AI

APRIL 30, 2025

Amazon Bedrock provides two primary methods for preparing your training data: uploading JSONL files to Amazon S3 or using historical invocation logs. Tool specification format requirements For agent function calling distillation, Amazon Bedrock requires that tool specifications be provided as part of your training data.

Artificial Inteligence 112

Artificial Inteligence Generative AI AWS Training 112

TechCrunch

JULY 20, 2021

In 2013, I was fortunate to get into artificial intelligence (more specifically, deep learning) six months before it blew up internationally. It started when I took a course on Coursera called “Machine learning with neural networks” by Geoffrey Hinton. It was like being love struck.

Artificial Inteligence 316

Artificial Inteligence Artificial Intelligence Disaster Recovery Machine Learning 316

TechCrunch

NOVEMBER 19, 2020

Today it was FireEye’s turn, snagging Respond Software , a company that helps customers investigate and understand security incidents, while reducing the need for highly trained (and scarce) security analysts. The acquisition gives them a quick influx of machine learning-fueled software.

Software 244

Software Machine Learning Artificial Inteligence Network 244

CIO

FEBRUARY 19, 2025

The use of synthetic data to train AI models is about to skyrocket, as organizations look to fill in gaps in their internal data, build specialized capabilities, and protect customer privacy, experts predict. Gartner, for example, projects that by 2028, 80% of data used by AIs will be synthetic, up from 20% in 2024.

Training 152

Training Artificial Inteligence Data Software Review 152

CIO

NOVEMBER 11, 2024

Kakkar and his IT teams are enlisting automation, machine learning, and AI to facilitate the transformation, which will require significant innovation, especially at the edge. Kakkar’s litmus test for pursuing a project depends on whether it has a clear purpose, goal, and measurable objectives.

Construction 165

Construction USP IoT Artificial Inteligence 165

Perficient

DECEMBER 4, 2024

Smart Snippet Model in Coveo The Coveo Machine Learning Smart Snippets model shows users direct answers to their questions on the search results page. Navigate to Recommendations : In the left-hand menu, click “models” under the “Machine Learning” section.

Machine Learning 52

Machine Learning Artificial Inteligence Wireless Software Review 52

TechCrunch

MAY 17, 2023

At the core of Union is Flyte , an open source tool for building production-grade workflow automation platforms with a focus on data, machine learning and analytics stacks. But there was always friction between the software engineers and machine learning specialists. ” Image Credits: Union.ai

Artificial Inteligence 246

Artificial Inteligence Machine Learning Open Source Data 246

AWS Machine Learning - AI

NOVEMBER 7, 2024

The generative AI playground is a UI provided to tenants where they can run their one-time experiments, chat with several FMs, and manually test capabilities such as guardrails or model evaluation for exploration purposes. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

AWS Machine Learning - AI

FEBRUARY 12, 2025

Trained on broad, generic datasets spanning a wide range of topics and domains, LLMs use their parametric knowledge to perform increasingly complex and versatile tasks across multiple business use cases. This blog post is co-written with Moran beladev, Manos Stergiadis, and Ilya Gusev from Booking.com. times on the same dataset.

Artificial Inteligence 77

Artificial Inteligence Training AWS Machine Learning 77

CIO

NOVEMBER 4, 2024

However, any customer-facing genAI apps need to be extensively and continuously tested and trained to ensure accuracy and a high-quality experience. Creating a superior customer experience: Organizations can supercharge the customer experience with genAI analysis of customer feedback, personalized chatbots, and tailored engagement.

Enterprise 174

Enterprise ChatGPT Generative AI Infrastructure 174

AWS Machine Learning - AI

AUGUST 21, 2024

Amazon SageMaker Canvas is a no-code machine learning (ML) service that empowers business analysts and domain experts to build, train, and deploy ML models without writing a single line of code. You can review the model status and test the model on the Predict tab.

Artificial Inteligence 121

Artificial Inteligence Machine Learning Government Software Review 121

TechCrunch

NOVEMBER 16, 2020

“As a developer, you want to test an idea or build a new feature, and it can take weeks to get access to the data you need. The first product is an open source, synthetic machine learning library for developers that strips out personally identifiable information. to train AI with synthetic data.

Open Source 245

Open Source Data Machine Learning Artificial Inteligence 245

Henrik Warne

MAY 19, 2020

I don’t have any experience working with AI and machine learning (ML). We also read Grokking Deep Learning in the book club at work. Seeing a neural network that starts with random weights and, after training, is able to make good predictions is almost magical. These systems require labeled images for training.

Artificial Inteligence 330

Artificial Inteligence Artificial Intelligence Systems Review Software Review 330

CIO

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 218

Analytics Artificial Inteligence Machine Learning Systems Review 218

TechCrunch

DECEMBER 15, 2022

Protect AI claims to be one of the few security companies focused entirely on developing tools to defend AI systems and machine learning models from exploits. “We have researched and uncovered unique exploits and provide tools to reduce risk inherent in [machine learning] pipelines.”

Machine Learning 223

Machine Learning Artificial Inteligence Software Review Systems Review 223

TechCrunch

NOVEMBER 22, 2021

As companies increasingly move to take advantage of machine learning to run their business more efficiently, the fact is that it takes an abundance of energy to build, test and run models in production. an energy-efficient solution for customers to build machine learning models using its solution.

Artificial Inteligence 249

Artificial Inteligence Energy Machine Learning Telecommunications 249

AWS Machine Learning - AI

JANUARY 13, 2025

The Education and Training Quality Authority (BQA) plays a critical role in improving the quality of education and training services in the Kingdom Bahrain. BQA oversees a comprehensive quality assurance process, which includes setting performance standards and conducting objective reviews of education and training institutions.

Education 110

Education Report Technical Review Generative AI 110

AWS Machine Learning - AI

DECEMBER 2, 2024

In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks. AI and ML engineers can now move from model training to production deployment with unprecedented speed, reducing time-to-market for new AI features and improvements. gpu-py311-cu124-ubuntu22.04-sagemaker",

Generative AI 106

Generative AI Artificial Inteligence Machine Learning AWS 106

TechCrunch

AUGUST 20, 2021

“Ninety percent of the data is used as a training set, and 10% for algorithm validation and testing. According to the data-centric AI we attach great importance to the test sets to be sure that they contain the best possible representation of signals from our clients. When a human interprets an ECG, they see a curve.

Artificial Inteligence 294

Artificial Inteligence Artificial Intelligence Healthcare Analysis 294

AWS Machine Learning - AI

MAY 1, 2025

Refer to Supported models and Regions for fine-tuning and continued pre-training for updates on Regional availability and quotas. The required training dataset (and optional validation dataset) prepared and stored in Amazon Simple Storage Service (Amazon S3). As of writing this post, Meta Llama 3.2

Generative AI 77

Generative AI AWS Artificial Inteligence Training 77

TechCrunch

AUGUST 26, 2021

Finding the right learning platform can be difficult, especially as companies look to upskill and reskill their talent to meet demand for certain technological capabilities, like data science, machine learning and artificial intelligence roles.

Artificial Inteligence 246

Artificial Inteligence Enterprise Machine Learning Artificial Intelligence 246

TechCrunch

APRIL 20, 2023

“The idea is to create a fictional version of a real dataset that can be used safely for a variety of purposes including safeguarding confidential data, reducing bias and also improving machine learning models,” he said. Programmatic synthetic data helps developers in many ways.

Data 262

Data Machine Learning Artificial Inteligence Blockchain 262

TechCrunch

MARCH 23, 2022

With offices in Tel Aviv and New York, Datagen “is creating a complete CV stack that will propel advancements in AI by simulating real world environments to rapidly train machine learning models at a fraction of the cost,” Vitus said. ” Investors that had backed Datagen’s $18.5

Automotive 242

Automotive Artificial Inteligence Machine Learning VR 242

AWS Machine Learning - AI

APRIL 30, 2025

Standard development best practices and effective cloud operating models, like AWS Well-Architected and the AWS Cloud Adoption Framework for Artificial Intelligence, Machine Learning, and Generative AI , are key to enabling teams to spend most of their time on tasks with high business value, rather than on recurrent, manual operations.

Generative AI 67

Generative AI Artificial Inteligence AWS Machine Learning 67