John Snow Labs

MARCH 20, 2025

Rather than simple knowledge recall with traditional LLMs to mimic reasoning [ 1 , 2 ], these models represent a significant advancement in AI-driven medical problem solving with systems that can meaningfully assist healthcare professionals in complex diagnostic, operational, and planning decisions. for the 14B model).

Artificial Inteligence 59

Artificial Inteligence Healthcare Training Guidelines 59

AWS Machine Learning - AI

DECEMBER 11, 2024

The goal was ambitious: to create an automated solution that could produce high-quality, multiple-choice questions at scale, while adhering to strict guidelines on bias, safety, relevance, style, tone, meaningfulness, clarity, and diversity, equity, and inclusion (DEI). Sonnet model in Amazon Bedrock. Sonnet in Amazon Bedrock.

Generative AI 79

Generative AI Artificial Inteligence Guidelines Education 79

John Snow Labs

NOVEMBER 8, 2024

Our results indicate that, for specialized healthcare tasks like answering clinical questions or summarizing medical research, these smaller models offer both efficiency and high relevance, positioning them as an effective alternative to larger counterparts within a RAG setup. The prompt is fed into the LLM.

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Artificial Inteligence Healthcare Case Study Comparison 52

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.

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Artificial Inteligence Applications Knowledge Base Generative AI 111

John Snow Labs

FEBRUARY 12, 2025

John Snow Labs’ Medical Language Models library is an excellent choice for leveraging the power of large language models (LLM) and natural language processing (NLP) in Azure Fabric due to its seamless integration, scalability, and state-of-the-art accuracy on medical tasks.

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Artificial Inteligence Azure Healthcare Software Review 52

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. This process involves updating the model’s weights to improve its performance on targeted applications.

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Artificial Inteligence Generative AI Training Metrics 91

Hacker Earth Developers Blog

DECEMBER 26, 2018

According to the Global Banking Outlook 2018 study conducted by Ernst & Young, 60-80% of the banks are planning to increase investment in data and analytics and 40-60% plan to increase investment in machine learning. Analytics and machine learning on their own are mere buzzwords. Impact areas.

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Machine Learning Artificial Inteligence Banking Analytics 202

Dion Hinchcliffe's Web 2.0 Blog

SEPTEMBER 6, 2024

The WDTA framework spans the lifecycle of large language models, offering guidelines to manage integration with other systems.

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Artificial Inteligence Guidelines System 98

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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Artificial Inteligence Metrics Airlines Travel 52

CIO

NOVEMBER 29, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) on Tuesday, at its annual re:Invent conference, said that it was adding new machine learning capabilities to its cloud-based contact center service, Amazon Connect. c (Sydney), and Europe (London).

Machine Learning 167

Machine Learning Artificial Inteligence AWS Software Review 167

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.

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Artificial Inteligence Technical Review Healthcare Systems Review 78

AWS Machine Learning - AI

MARCH 13, 2025

This post was co-written with Vishal Singh, Data Engineering Leader at Data & Analytics team of GoDaddy Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) in these solutions has become increasingly popular.

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Artificial Inteligence Systems Review System Generative AI 94

Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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Artificial Inteligence Machine Learning Banking Fintech 140

CIO

SEPTEMBER 25, 2024

Large context windows allow models to analyze long pieces of text or code, or provide more detailed answers. They also allow enterprises to provide more examples or guidelines in the prompt, embed contextual information, or ask follow-up questions. Inference The process of using a trained model to give answers to questions.

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Artificial Inteligence Open Source Training Software Review 214

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 Artificial Inteligence Software Review 72

TechCrunch

JULY 7, 2021

AI teams invest a lot of rigor in defining new project guidelines. In the absence of clear guidelines, teams let infeasible projects drag on for months. A common misconception is that a significant amount of data is required for training machine learning models. This is not always true.

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Weak Development Team Artificial Inteligence Guidelines Machine Learning 339

CIO

NOVEMBER 21, 2024

If it’s not there, no one will understand what we’re doing with artificial intelligence, for example.” This evolution applies to any field. It’s no longer based on receiving guidelines from the CEO,” he says. “The change comes from two sides,” says Fernández. One, because the CIO has evolved and wants to be in the strategy.

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Technical Review Artificial Inteligence Artificial Intelligence Innovation 163

CIO

APRIL 25, 2024

During the summer of 2023, at the height of the first wave of interest in generative AI, LinkedIn began to wonder whether matching candidates with employers and making feeds more useful would be better served with the help of large language models (LLMs). We didn’t start with a very clear idea of what an LLM could do.”

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Artificial Inteligence Generative AI Metrics Azure 209

CIO

AUGUST 30, 2024

Unsurprisingly, those un-truths find their way into the artificial intelligence (AI) solutions we create. Often overlooked, this has found its way into AI systems, including Large Language Models (LLMs), compromising the integrity and fairness of results. Amazon has been lauded as the poster child for this.

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Artificial Inteligence Guidelines Artificial Intelligence Education 179

Hacker Earth Developers Blog

AUGUST 2, 2022

Artificial intelligence has generated a lot of buzz lately. More than just a supercomputer generation, AI recreated human capabilities in machines. Hiring activities of a company are mainly outsourced to third-party AI recruitment agencies that run machine learning-based algorithmic expressions on candidate profiles.

Software Engineering 246

Software Engineering Engineering Artificial Inteligence Software 246

CIO

APRIL 16, 2024

While warp speed is a fictional concept, it’s an apt way to describe what generative AI (GenAI) and large language models (LLMs) are doing to exponentially accelerate Industry 4.0. GenAI models can amplify biases present in the training data and skew decision-making. Artificial Intelligence

Artificial Inteligence 214

Artificial Inteligence Industry Artificial Intelligence Guidelines 214

AWS Machine Learning - AI

JANUARY 13, 2025

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

Education 98

Education Report Technical Review Generative AI 98

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.

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Artificial Inteligence Generative AI Lambda Healthcare 123

AWS Machine Learning - AI

MARCH 20, 2025

Traditionally, transforming raw data into actionable intelligence has demanded significant engineering effort. It often requires managing multiple machine learning (ML) models, designing complex workflows, and integrating diverse data sources into production-ready formats.

Data 106

Data Generative AI Artificial Inteligence Compliance 106

CIO

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Artificial Intelligence, Data Management, Digital Transformation, Generative AI

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Generative AI Artificial Inteligence AWS Machine Learning 201

CIO

MARCH 11, 2025

Weve enabled all of our employees to leverage AI Studio for specific tasks like researching and drafting plans, ensuring that accurate translations of content or assets meet brand guidelines, Srivastava says. Steps that are highly repetitive and follow well-defined rules are prime candidates for agentic AI, Kelker says.

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How To Systems Review Technical Review Software Review 191

TechCrunch

JULY 12, 2022

“[Our] proprietary large language models’ core capabilities allow for the ingestion of massive amounts of corporate data use to do … custom content creation, summarization, and classification.” ” AI21 Labs was co-founded in 2017 by Goshen, Shashua, and Stanford University professor Yoav Shoham.

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Artificial Inteligence Technical Review Systems Review Training 237

AWS Machine Learning - AI

AUGUST 6, 2024

Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the multiple techniques that you can use to customize models and meet your specific business needs. Customization unlocks the transformative potential of large language models.

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Generative AI Artificial Inteligence Applications Knowledge Base 133

CIO

MARCH 26, 2025

New technology became available that allowed organizations to start changing their data infrastructures and practices to accommodate growing needs for large structured and unstructured data sets to power analytics and machine learning.

CTO 142

CTO Data Infrastructure Artificial Inteligence 142

Ooda Loop

APRIL 29, 2024

he Cybersecurity and Infrastructure Security Agency on Monday released safety and security guidelines for critical infrastructure, a move that comes just days after the Department of Homeland Security announced the formation of a safety and security board focused on the same topic.

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Guidelines Infrastructure Artificial Inteligence Artificial Intelligence 111

Palo Alto Networks

OCTOBER 22, 2024

Real-time monitoring and anomaly detection systems powered by artificial intelligence and machine learning, capable of identifying and responding to threats in cloud environments within seconds. Leverage AI and machine learning to sift through large volumes of data and identify potential threats quickly.

Cloud 105

Cloud Artificial Inteligence Software Review Systems Review 105

AWS Machine Learning - AI

NOVEMBER 15, 2024

As a leader in financial services, Principal wanted to make sure all data and responses adhered to strict risk management and responsible AI guidelines. Model monitoring of key NLP metrics was incorporated and controls were implemented to prevent unsafe, unethical, or off-topic responses. 2024, Principal Financial Services, Inc.

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Generative AI AWS Groups Artificial Inteligence 111

CIO

SEPTEMBER 1, 2024

While Artificial Intelligence has evolved in hyper speed –from a simple algorithm to a sophisticated system, deepfakes have emerged as one its more chaotic offerings. There was a time we lived by the adage – seeing is believing. Now, times have changed. A deepfake, now used as a noun (i.e.,

Technical Review 183

Technical Review Artificial Inteligence Artificial Intelligence Government 183

AWS Machine Learning - AI

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. To do so, journalists first invoke a rewrite of the article by an LLM using Amazon Bedrock.

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Generative AI Artificial Inteligence AWS Advertising 130

Tenable

MARCH 14, 2025

The short answer: The DeepSeek R1 large language model (LLM) can provide a useful starting point for developing malware, but it requires additional prompting and debugging. CIS recently announced Benchmark updates for Apache Tomcat, Oracle Cloud Infrastructure and SUSE Linux Enterprise. Benchmark v1.1.0

Infrastructure 74

Infrastructure Artificial Inteligence Open Source Malware 74

AWS Machine Learning - AI

JULY 31, 2024

As generative artificial intelligence (AI) applications become more prevalent, maintaining responsible AI principles becomes essential. Without proper safeguards, large language models (LLMs) can potentially generate harmful, biased, or inappropriate content, posing risks to individuals and organizations.

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Artificial Inteligence Generative AI Policies Guidelines 121

AWS Machine Learning - AI

MAY 9, 2024

Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles. The Approach When building an interactive agent with large language models (LLMs), there are often two techniques that can be used: RAG and fine-tuning.

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Generative AI Artificial Inteligence Technical Review Development Team Review 126