John Snow Labs

JULY 4, 2023

What are Medical Large Language Models (LLMs)? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that. How do medical large language models (LLMs) assist physicians in making critical diagnoses?

Artificial Inteligence 52

Artificial Inteligence Healthcare Software Review Systems Review 52

CIO

JUNE 21, 2024

This alliance can create a tailored package of ready-to-use, scalable infrastructure; a battery of cloud services; in-depth security; health-care specific platforms; and AI expertise. Scalability: Computational power and massive data storage are critical for training and hosting GenAI large language models.

Healthcare 246

Healthcare Artificial Inteligence Cloud Systems Review 246

CIO

AUGUST 5, 2024

This is evident in the rigorous training required for providers, the stringent safety protocols for life sciences professionals, and the stringent data and privacy requirements for healthcare analytics software. Healthcare adheres to an elevated standard. The stakes in healthcare are higher, as errors can have life-or-death consequences.

Healthcare 306

Healthcare Artificial Inteligence Technical Review Software Review 306

John Snow Labs

JUNE 27, 2023

Prepare to be amazed as we delve into the world of Large Language Models (LLMs) – the driving force behind NLP’s remarkable progress. In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. What are Large Language Models (LLMs)?

Artificial Inteligence 52

Artificial Inteligence Training Analysis Systems Review 52

CIO

JULY 2, 2024

The first step to successful genAI setup and implementation is to understand what is needed for large language models (LLMs) and large-scale AI inferencing environments—foundations of genAI—to run smoothly and efficiently. What can businesses do so they don’t miss out on the genAI promise? billion globally by 2027.

Artificial Inteligence 270

Artificial Inteligence Infrastructure Generative AI Innovation 270

CIO

AUGUST 26, 2024

It is all about the accelerator’s architectural design plus optimization of the AI ecosystem that sits on top of the accelerator. When it comes to AI acceleration in production enterprise workloads, a fit-for-purpose architecture matters.

Artificial Inteligence 329

Artificial Inteligence CTO Coach Generative AI Compliance 329

AWS Machine Learning - AI

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Finally, the LLM generates new content conditioned on the input data and the prompt.

Artificial Inteligence 102

Artificial Inteligence Generative AI Lambda Healthcare 102

CIO

SEPTEMBER 21, 2023

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. This is where large language models get me really excited.

Artificial Inteligence 322

Artificial Inteligence Enterprise Trends Open Source 322

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence 123

Artificial Inteligence Generative AI Security Applications 123

CIO

MAY 2, 2024

These include the accelerating transition to cloud platforms, the growth of hybrid and remote work models, and the rapid adoption of artificial intelligence (AI) and machine learning (ML) technologies across every industry. As IT leaders, understanding the path forward is crucial.

Data Center 246

Data Center Artificial Inteligence Data Sustainability 246

Cloudera

AUGUST 1, 2024

The survey, ‘ The State of Enterprise AI and Modern Data Architecture ’ uncovered the challenges and barriers that exist with AI adoption, current enterprise AI deployment plans, and the state of data infrastructures and data management. While every business has adopted some form of data architecture, the types they use vary widely.

Survey 85

Survey Architecture Enterprise Data 85

AWS Machine Learning - AI

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. Benefits of new recipes The new recipes offer enhancements in scalability, latency, model performance, and functionality.

Artificial Inteligence 92

Artificial Inteligence Machine Learning Software Engineering AWS 92

AWS Machine Learning - AI

JUNE 18, 2024

Intelligent automation presents a chance to revolutionize document workflows across sectors through digitization and process optimization. This post explains a generative artificial intelligence (AI) technique to extract insights from business emails and attachments. Data summarization using large language models (LLMs).

Generative AI 96

Generative AI Artificial Inteligence AWS Technical Review 96

Dataiku

MARCH 25, 2024

But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions. This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI.

Artificial Inteligence 132

Artificial Inteligence Architecture Training Systems Review 132

CIO

JULY 18, 2023

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

Artificial Inteligence 246

Artificial Inteligence Company Pharmaceuticals 3D 246

CIO

JUNE 21, 2024

The results are inefficient utilization of edge resources, needlessly complex machine learning models, and impractical use cases, all of which lead to slow or suboptimal adoption by end users. This approach hosts optimally-sized ML/AI models on optimal compute resources.

Games 261

Games Machine Learning Artificial Inteligence Hardware 261

AWS Machine Learning - AI

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. By design, there is no mechanism for any Amazon employee to access a Nitro EC2 instance that customers use to run their workloads, or to access data that customers send to a machine learning (ML) accelerator or GPU.

Generative AI 118

Generative AI AWS Artificial Inteligence Infrastructure 118

AWS Machine Learning - AI

MAY 30, 2024

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. Hosting large language models Vitech explored the option of hosting Large Language Models (LLMs) models using Amazon Sagemaker.

Artificial Inteligence 103

Artificial Inteligence Technical Review Development Team Review Software Review 103

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 284

Artificial Inteligence Strategy Data Machine Learning 284

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.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Cloudera

SEPTEMBER 10, 2024

However, six months into its implementation, regulators discovered that the AI model had been trained on biased historical data and was inadvertently discriminating against certain demographic groups, leading to unfair lending practices. Let’s review some of the more critical regulations and the impact of a hybrid cloud architecture.

Compliance 52

Compliance Architecture Disaster Recovery Cloud 52

Altexsoft

OCTOBER 22, 2021

In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. Get ready because you’re about to go deep into deep learning. What is deep learning? Artificial intelligence vs machine learning vs deep learning.

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Artificial Inteligence Artificial Intelligence .Net Machine Learning 52

O'Reilly Media - Data

JULY 23, 2018

Recognizing the interest in ML, the Strata Data Conference program is designed to help companies adopt ML across large sections of their existing operations. Recognizing the interest in ML, we assembled a program to help companies adopt ML across large sections of their existing operations. Machine Learning in the enterprise".

Machine Learning 123

Machine Learning Artificial Inteligence How To Case Study 123

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Factory Monitoring?—?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

AWS Machine Learning - AI

APRIL 3, 2024

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML).

Serverless 101

Serverless Artificial Inteligence Engineering Generative AI 101

CIO

JULY 18, 2023

The CIO’s biggest hiring challenge is clear: “There is simply not enough talent to go around,” says Scott duFour, global CIO of business payments company Fleetcor, for whom positions in areas such as AI, cloud architecture, and data science remain the toughest to fill. The net result? S&P Global, for example, is entering its AI 2.0

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

CIO

OCTOBER 13, 2023

A recent survey of senior IT professionals from Foundry found that 57% of IT organizations have identified several areas for gen AI use cases, 25% have started pilot programs, and 41% are engaged in training and upskilling employees on gen AI.

Generative AI 359

Generative AI Company Machine Learning Artificial Inteligence 359

CIO

AUGUST 1, 2023

Building out a technology architecture scaling to multiple services applied to 500 million acres is a bold bet on using technology to drive growth. If you intend to play to win in our rapidly emerging era of superabundant AI, you will never regret choosing to draft “scalability” onto your team. Generative AI seals the deal.

Strategy 130

Strategy Artificial Inteligence Generative AI Open Source 130

CIO

JUNE 7, 2023

These leaders succeed with these real-time AI capabilities in large part because of their ability to aggregate massive amounts of real-time data from customers, devices, sensors, or partners as it moves through applications. This data in turn is used to train and serve machine learning models.

Organization 130

Organization Artificial Inteligence Open Source Architecture 130

CIO

JUNE 19, 2024

Those highly scalable platforms are typically designed to optimize developer productivity, leverage economies of scale to lower costs, improve reliability, and accelerate software delivery. They may also ensure consistency in terms of processes, architecture, security, and technical governance.

Weak Development Team 346

Weak Development Team Engineering UI/UX Software Development 346

CIO

AUGUST 9, 2023

Organizations need massive amounts of data to build and train generative AI models. In turn, these models will also generate reams of data that elevate organizational insights and productivity. Advances in hardware boost the performance and scalability of generative AI systems. Learn more here.

Generative AI 246

Generative AI Storage Scalability Technical Review 246

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

AWS Machine Learning - AI

JUNE 21, 2024

Amazon SageMaker JumpStart is a machine learning (ML) hub offering pre-trained models and pre-built solutions. It provides access to hundreds of foundation models (FMs). Users are then only able to discover and use models within the private hubs they have access to through Amazon SageMaker Studio and the SDK.

Artificial Inteligence 87

Artificial Inteligence AWS Machine Learning Software Review 87

CIO

FEBRUARY 20, 2024

The US Commerce Department in January, for example, proposed a rule banning Chinese companies from training their LLM models in US cloud environments. For example, what if a Chinese company hires an American AI firm and pays them to train various LLMs in that American company’s US-based cloud environment?

Enterprise 325

Enterprise Strategy Cloud Technical Review 325

OTS Solutions

AUGUST 16, 2023

Artificial Intelligence (AI) and Machine Learning (ML) have been at the forefront of app modernization, helping businesses to streamline workflows, enhance user experience, and improve app security measures.

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

CIO

OCTOBER 4, 2023

PayPal, like many other large companies, suffers attacks every second, and we can only manage this volume of threats through an architecture with reinforced security layers and solid technology, such as AI.” In other words, scalability. “When we talk about security, what was enough yesterday is no longer enough today,” he says.

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Blockchain Architecture Artificial Inteligence Artificial Intelligence 329