Xebia

APRIL 16, 2025

Understanding the Value Proposition of LLMs Large Language Models (LLMs) have quickly become a powerful tool for businesses, but their true impact depends on how they are implemented. The key is determining where LLMs provide value without sacrificing business-critical quality.

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Artificial Inteligence Systems Review How To eCommerce 130

TechCrunch

FEBRUARY 24, 2021

Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. The idea is to get a model into production that outperforms humans. One customer Sterblue offers a good example. The Aquarium team.

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Xebia

OCTOBER 15, 2024

I was happy enough with the result that I immediately submitted the abstract instead of reviewing it closely. This session delves into the fascinating world of utilising artificial intelligence to expedite and streamline the development process of a mobile meditation app. I will give some examples of abstracts I like.

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ChatGPT Artificial Inteligence Software Review Systems Review 130

CIO

NOVEMBER 6, 2024

Artificial intelligence has moved from the research laboratory to the forefront of user interactions over the past two years. For example, the Met Office is using Snowflake’s Cortex AI model to create natural language descriptions of weather forecasts. We use machine learning all the time.

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Artificial Inteligence Technical Review Innovation Weak Development Team 200

CIO

NOVEMBER 8, 2024

Beyond the possibility of AI coding agents copying lines of code, courts will have to decide whether AI vendors can use material protected by copyright — including some software code — to train their AI models, Gluck says. “At Without some review of the AI-generated code, organizations may be exposed to lawsuits, he adds.

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Software Review Open Source Technical Review Artificial Inteligence 200

CIO

OCTOBER 17, 2024

Developers unimpressed by the early returns of generative AI for coding take note: Software development is headed toward a new era, when most code will be written by AI agents and reviewed by experienced developers, Gartner predicts. Walsh acknowledges that the current crop of AI coding assistants has gotten mixed reviews so far.

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Software Review Software Engineering Weak Development Team Engineering 212

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.

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Artificial Inteligence Training AWS Machine Learning 74

TechEmpower CTO

OCTOBER 9, 2023

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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Generative AI Artificial Inteligence How To Systems Review 346

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. Choose Next.

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Case Study Artificial Inteligence Study Generative AI 107

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 74

CIO

DECEMBER 10, 2024

For example, developers using GitHub Copilots code-generating capabilities have experienced a 26% increase in completed tasks , according to a report combining the results from studies by Microsoft, Accenture, and a large manufacturing company. Below are five examples of where to start. times higher revenue growth and 2.4

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Weak Development Team Metrics Software Review Technical Review 215

AWS Machine Learning - AI

APRIL 10, 2025

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 million H100 GPU hours.

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Training Artificial Inteligence Hardware Systems Review 99

Tenable

NOVEMBER 29, 2024

1 - Best practices for secure AI system deployment Looking for tips on how to roll out AI systems securely and responsibly? The guide “ Deploying AI Systems Securely ” has concrete recommendations for organizations setting up and operating AI systems on-premises or in private cloud environments. and the U.S. and the U.S.

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Artificial Inteligence Research Generative AI Artificial Intelligence 74

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.

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Artificial Inteligence Technical Review Healthcare Systems Review 102

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). We walk through a Python example in this post. For this example, we use a Jupyter notebook (Kernel: Python 3.12.0).

Software Review 107

Software Review Artificial Inteligence Generative AI AWS 107

CIO

DECEMBER 11, 2024

Digital transformation started creating a digital presence of everything we do in our lives, and artificial intelligence (AI) and machine learning (ML) advancements in the past decade dramatically altered the data landscape. The choice of vendors should align with the broader cloud or on-premises strategy.

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Data Technical Review Software Review Weak Development Team 167

Hacker Earth Developers Blog

APRIL 13, 2022

One of the most exciting and rapidly-growing fields in this evolution is Artificial Intelligence (AI) and Machine Learning (ML). Simply put, AI is the ability of a computer to learn and perform tasks that ordinarily require human intelligence, such as understanding natural language and recognizing objects in pictures.

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Artificial Inteligence Artificial Intelligence Technical Review Machine Learning 299

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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CIO

JANUARY 5, 2025

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1]

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Enterprise Generative AI Weak Development Team Technical Review 187

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You.

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Artificial Inteligence Systems Review Training Windows 80

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 89

AWS Machine Learning - AI

DECEMBER 11, 2024

Enter AI: A promising solution Recognizing the potential of AI to address this challenge, EBSCOlearning partnered with the GenAIIC to develop an AI-powered question generation system. The evaluation process includes three phases: LLM-based guideline evaluation, rule-based checks, and a final evaluation. Sonnet in Amazon Bedrock.

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CIO

NOVEMBER 21, 2024

Building on that perspective, this article describes examples of AI regulations in the rest of the world and provides a summary on global AI regulation trends. Lastly, China’s AI regulations are focused on ensuring that AI systems do not pose any perceived threat to national security. and Europe.

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Artificial Inteligence Technical Review Software Review Artificial Intelligence 180

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

AWS Machine Learning - AI

MARCH 27, 2025

We provide practical examples for both SCP modifications and AWS Control Tower implementations. Understanding cross-Region inference When running model inference in on-demand mode, your requests might be restricted by service quotas or during peak usage times.

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Artificial Inteligence AWS Technical Review Policies 103

AWS Machine Learning - AI

APRIL 1, 2025

AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Whether youre connecting to external systems or internal data stores or tools, you can now use MCP to interface with all of them in the same way.

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Generative AI AWS Artificial Inteligence Software Review 132

AWS Machine Learning - AI

APRIL 16, 2025

Out-of-the-box models often lack the specific knowledge required for certain domains or organizational terminologies. To address this, businesses are turning to custom fine-tuned models, also known as domain-specific large language models (LLMs). You have the option to quantize the model.

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Artificial Inteligence Generative AI AWS Storage 81

CIO

MARCH 4, 2025

McCarthy, for example, points to the announcement of Google Agentspace in December to meet some of the multifaceted management need. Agentic AI systems require more sophisticated monitoring, security, and governance mechanisms due to their autonomous nature and complex decision-making processes.

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Software Review Artificial Inteligence Technical Review Government 179

CIO

MARCH 11, 2025

Does [it] have in place thecompliance review and monitoring structure to initially evaluate the risks of the specific agentic AI; monitor and correct where issues arise; measure success; remain up to date on applicable law and regulation? Feaver says.

How To 191

How To Systems Review Technical Review Software Review 191

CIO

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. One workaround is to build a system with multiple LLMs.

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Artificial Inteligence Enterprise Generative AI Technical Review 179

CIO

NOVEMBER 27, 2024

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. That’s a classic example of too much good is wasted.”

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Data Enterprise Weak Development Team Software Review 211

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. It can be customized and integrated with an organization’s data, systems, and repositories. Amazon Q offers user-based pricing plans tailored to how the product is used.

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AWS Artificial Inteligence Generative AI Machine Learning 101

CIO

JANUARY 8, 2025

Increasingly, however, CIOs are reviewing and rationalizing those investments. While up to 80% of the enterprise-scale systems Endava works on use the public cloud partially or fully, about 60% of those companies are migrating back at least one system. Are they truly enhancing productivity and reducing costs?

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Cloud Technical Review Systems Review Budget 209

CIO

SEPTEMBER 25, 2024

Agentic systems An agent is an AI model or software program capable of autonomous decisions or actions. Gen AI-powered agentic systems are relatively new, however, and it can be difficult for an enterprise to build their own, and it’s even more difficult to ensure safety and security of these systems.

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Artificial Inteligence Open Source Training Software Review 214

Openxcell

JANUARY 20, 2025

Have you ever imagined how artificial intelligence has changed our lives and the way businesses function? The rise of AI models, such as the foundation model and LLM, which offer massive automation and creativity, has made this possible. What are Foundation Models? What are LLMs? So, lets dive in!

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Artificial Inteligence Generative AI Training Architecture 52

Xebia

FEBRUARY 28, 2025

We spent time trying to get models into production but we are not able to. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. The term has gained in popularity since 2018 [3] [4] , when the Machine Learning had undergone massive growth.

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Technical Review Weak Development Team Machine Learning Artificial Inteligence 182

CIO

NOVEMBER 21, 2024

But change, judgment, and potentially clashing IT strategies can saddle CIOs with more tech debt, for example, which can further undercut long-term outcomes and innovation. If it’s not there, no one will understand what we’re doing with artificial intelligence, for example.” This evolution applies to any field.

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