CIO

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

Artificial Inteligence 167

Artificial Inteligence Machine Learning Data Artificial Intelligence 167

TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. ” Generating DNA sequences.

Artificial Inteligence 274

Artificial Inteligence Machine Learning Biotech Training 274

AWS Machine Learning - AI

DECEMBER 2, 2024

This new feature brings several key benefits for generative AI inference workloads: dramatically faster scaling to handle traffic spikes, improved resource utilization on GPU instances, and potential cost savings through more efficient scaling and reduced idle time during scale-up events.

Generative AI 106

Generative AI Artificial Inteligence Machine Learning AWS 106

CIO

NOVEMBER 27, 2024

Failing to invest in data governance and security practices risks not only regulatory lapses and internal governance violations, but also bad outputs from AI that can stunt growth, lead to biased outcomes and inaccurate insights, and waste an organization’s resources. are creating additional layers of accountability.

Artificial Inteligence 199

Artificial Inteligence Artificial Intelligence Government Compliance 199

AWS Machine Learning - AI

NOVEMBER 6, 2024

The rise of large language models (LLMs) and foundation models (FMs) has revolutionized the field of natural language processing (NLP) and artificial intelligence (AI). He is passionate about cloud and machine learning.

Software Review 119

Software Review Artificial Inteligence Generative AI AWS 119

CIO

JANUARY 30, 2025

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

Scalability 169

Scalability Government Trends Artificial Inteligence 169

AWS Machine Learning - AI

FEBRUARY 12, 2025

Large language models (LLMs) have revolutionized the field of natural language processing with their ability to understand and generate humanlike text. Researchers developed Medusa , a framework to speed up LLM inference by adding extra heads to predict multiple tokens simultaneously.

Artificial Inteligence 77

Artificial Inteligence Training AWS Machine Learning 77

AWS Machine Learning - AI

NOVEMBER 6, 2024

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. The Streamlit application will now display a button labeled Get LLM Response. See the README.md

Generative AI 119

Generative AI AWS Artificial Inteligence Applications 119

CIO

APRIL 23, 2025

Maintaining legacy systems can consume a substantial share of IT budgets up to 70% according to some analyses diverting resources that could otherwise be invested in innovation and digital transformation. Modern AI models, particularly large language models, frequently require real-time data processing capabilities.

Insurance 164

Insurance Artificial Inteligence Data Architecture 164

CIO

DECEMBER 17, 2024

Two critical areas that underpin our digital approach are cloud and artificial intelligence (AI). Cloud and the importance of cost management Early in our cloud journey, we learned that costs skyrocket without proper FinOps capabilities and overall governance. We prioritize those workloads then migrate them to the cloud.

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Artificial Inteligence Cloud Artificial Intelligence Generative AI 158

CIO

DECEMBER 16, 2024

The Kingdom has committed significant resources to developing a robust cybersecurity ecosystem, encompassing threat detection systems, incident response frameworks, and cutting-edge defense mechanisms powered by artificial intelligence and machine learning.

Strategy 158

Strategy Artificial Inteligence Artificial Intelligence Education 158

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.

Case Study 122

Case Study Artificial Inteligence Study Generative AI 122

AWS Machine Learning - AI

NOVEMBER 20, 2024

The effectiveness of RAG heavily depends on the quality of context provided to the large language model (LLM), which is typically retrieved from vector stores based on user queries. The relevance of this context directly impacts the model’s ability to generate accurate and contextually appropriate responses.

Artificial Inteligence 117

Artificial Inteligence Applications Knowledge Base Generative AI 117

CIO

OCTOBER 24, 2024

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., CEO and president there. Samuel agrees with Gartner’s projections, however.

Data Center 200

Data Center Artificial Inteligence Generative AI Artificial Intelligence 200

AWS Machine Learning - AI

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

Artificial Inteligence 66

Artificial Inteligence Open Source AWS Serverless 66

AWS Machine Learning - AI

APRIL 21, 2025

In this blog post, we discuss how Prompt Optimization improves the performance of large language models (LLMs) for intelligent text processing task in Yuewen Group. Evolution from Traditional NLP to LLM in Intelligent Text Processing Yuewen Group leverages AI for intelligent analysis of extensive web novel texts.

Artificial Inteligence 77

Artificial Inteligence Groups Applications Innovation 77

CIO

JANUARY 6, 2025

They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more. 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

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 2, 2025

Artificial intelligence (AI) has long since arrived in companies. AI consulting: A definition AI consulting involves advising on, designing and implementing artificial intelligence solutions. Model and data analysis. Time and resource planning, stakeholder management and moderating change processes.

Artificial Inteligence 120

Artificial Inteligence Technical Advisors Artificial Intelligence Automotive 120

CIO

SEPTEMBER 11, 2024

For Colsubsidio , a non-profit provider of a wide array of social services in Colombia, the recent pandemic underscored the need to respond quickly to a major crisis to diminish the harm felt by communities with limited resources. As a result, data teams exhausted valuable time resolving problems and fixing glitches, and the approximately 1.5

Artificial Inteligence 198

Artificial Inteligence Artificial Intelligence Social Tourism 198

OTS Solutions

JUNE 3, 2022

At the heart of this shift are AI (Artificial Intelligence), ML (Machine Learning), IoT, and other cloud-based technologies. The intelligence generated via Machine Learning. There are also significant cost savings linked with artificial intelligence in health care. On-Demand Computing.

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

AWS Machine Learning - AI

DECEMBER 11, 2024

The challenge: Scaling quality assessments EBSCOlearnings learning pathscomprising videos, book summaries, and articlesform the backbone of a multitude of educational and professional development programs. The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation.

Generative AI 90

Generative AI Artificial Inteligence Guidelines Education 90

AWS Machine Learning - AI

APRIL 10, 2025

Once a failure occurs, time (idle GPUs) is spent on detecting (MTD), replacing (MTT Replace), and continuing (MTR Restart) a training run, often wasting time and expensive resources. Amazon SageMaker HyperPod resilient training infrastructure SageMaker HyperPod is a compute environment optimized for large-scale frontier model training.

Training 112

Training Artificial Inteligence Hardware Systems Review 112

AWS Machine Learning - AI

NOVEMBER 27, 2024

Large language models (LLMs) have witnessed an unprecedented surge in popularity, with customers increasingly using publicly available models such as Llama, Stable Diffusion, and Mistral. The implementation of these new SMP features promises several advantages for customers working with LLMs.

Training 110

Training Artificial Inteligence AWS Machine Learning 110

AWS Machine Learning - AI

APRIL 16, 2025

To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). These models are tailored to perform specialized tasks within specific domains or micro-domains. This guide uses the EC2 G6 instance class, and we deploy a 15 GB Llama2 7B model.

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AWS Machine Learning - AI

OCTOBER 16, 2024

The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand. The secondary LLM is used to evaluate the summaries on a large scale.

Media 117

Media Video Artificial Inteligence Generative AI 117

TechCrunch

AUGUST 26, 2021

LOVO , the Berkeley, California-based artificial intelligence (AI) voice & synthetic speech tool developer, this week closed a $4.5 The proceeds will be used to propel its research and development in artificial intelligence and synthetic speech and grow the team. “We

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O'Reilly Media - Ideas

NOVEMBER 19, 2024

Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. Also, in place of expensive retraining or fine-tuning for an LLM, this approach allows for quick data updates at low cost.

Artificial Inteligence 128

Artificial Inteligence Construction Open Source Training 128

AWS Machine Learning - AI

NOVEMBER 7, 2024

Depending on the use case and data isolation requirements, tenants can have a pooled knowledge base or a siloed one and implement item-level isolation or resource level isolation for the data respectively. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures.

Generative AI 113

Generative AI AWS Enterprise Artificial Inteligence 113

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. The Need for Fine Tuning Fine tuning solves these issues.

Artificial Inteligence 87

Artificial Inteligence Training Machine Learning Performance 87

Tenable

NOVEMBER 29, 2024

Deploying AI systems securely requires careful setup and configuration that depends on the complexity of the AI system, the resources required (e.g., In addition to monitoring internal network behavior, AI systems can more comprehensively analyze external sources of intelligence like RSS feeds, cybersecurity forums and global threat data.

Artificial Inteligence 75

Artificial Inteligence Research Generative AI Artificial Intelligence 75

CIO

NOVEMBER 4, 2024

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. Additionally, 90% of respondents intend to purchase or leverage existing AI models, including open-source options, when building AI applications, while only 10% plan to develop their own.

Infrastructure 193

Infrastructure Marketing Data Artificial Inteligence 193

AWS Machine Learning - AI

MARCH 18, 2025

This is where the integration of cutting-edge technologies, such as audio-to-text translation and large language models (LLMs), holds the potential to revolutionize the way patients receive, process, and act on vital medical information. These insights can include: Potential adverse event detection and reporting.

Artificial Inteligence 112

Artificial Inteligence Technical Review Healthcare Systems Review 112

AWS Machine Learning - AI

OCTOBER 17, 2024

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. Personalized care : Using machine learning, clinicians can tailor their care to individual patients by analyzing the specific needs and concerns of each patient.

AWS 112

AWS Artificial Inteligence Generative AI Machine Learning 112

CIO

DECEMBER 3, 2024

Finding the right partner means that CIOs don’t have to build that expertise in-house or waste time and resources trying to DIY their AI,” he adds. While sharing knowledge is important, CIOs should also turn to trusted AI partners, Perez advises.“Finding

Strategy 199

Strategy Fractional CTO Training Artificial Inteligence 199