CIO

DECEMBER 10, 2024

Large language models (LLMs) just keep getting better. In just about two years since OpenAI jolted the news cycle with the introduction of ChatGPT, weve already seen the launch and subsequent upgrades of dozens of competing models. From Llama3.1 to Gemini to Claude3.5 In fact, business spending on AI rose to $13.8

Artificial Inteligence 174

Artificial Inteligence Off-The-Shelf Insurance Analytics 174

CIO

MARCH 11, 2025

To capitalize on the enormous potential of artificial intelligence (AI) enterprises need systems purpose-built for industry-specific workflows. Enterprise technology leaders discussed these issues and more while sharing real-world examples during EXLs recent virtual event, AI in Action: Driving the Shift to Scalable AI.

Artificial Inteligence 162

Artificial Inteligence Enterprise Artificial Intelligence Insurance 162

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 0.06% of the time.

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Training Artificial Inteligence Hardware Systems Review 113

CIO

FEBRUARY 5, 2025

As insurance companies embrace generative AI (genAI) to address longstanding operational inefficiencies, theyre discovering that general-purpose large language models (LLMs) often fall short in solving their unique challenges. Claims adjudication, for example, is an intensive manual process that bogs down insurers.

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Artificial Inteligence Insurance Technical Review Generative AI 109

CIO

MAY 1, 2025

Small language models (SLMs) are giving CIOs greater opportunities to develop specialized, business-specific AI applications that are less expensive to run than those reliant on general-purpose large language models (LLMs). Microsofts Phi, and Googles Gemma SLMs. Googles Gemma 3, based on Gemini 2.0,

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Artificial Inteligence Airlines Healthcare Firewall 168

CIO

DECEMBER 20, 2024

While NIST released NIST-AI- 600-1, Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile on July 26, 2024, most organizations are just beginning to digest and implement its guidance, with the formation of internal AI Councils as a first step in AI governance.So

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Artificial Inteligence Security Data Artificial Intelligence 158

CIO

NOVEMBER 14, 2024

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. It guides users through training and deploying an informed chatbot, which can often take a lot of time and effort.

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Artificial Inteligence Machine Learning Open Source Engineering 88

CIO

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Architecture 193

Architecture Artificial Inteligence Data Development Team Review 193

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. To maximize performance and optimize training, organizations frequently need to employ advanced distributed training strategies.

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CIO

JANUARY 30, 2025

In particular, it is essential to map the artificial intelligence systems that are being used to see if they fall into those that are unacceptable or risky under the AI Act and to do training for staff on the ethical and safe use of AI, a requirement that will go into effect as early as February 2025.

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CIO

MARCH 20, 2025

Global competition is heating up among large language models (LLMs), with the major players vying for dominance in AI reasoning capabilities and cost efficiency. OpenAI is leading the pack with ChatGPT and DeepSeek, both of which pushed the boundaries of artificial intelligence.

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Artificial Inteligence ChatGPT Artificial Intelligence Hardware 128

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.

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CIO

DECEMBER 11, 2024

It could be used to improve the experience for individual users, for example, with smarter analysis of receipts, or help corporate clients by spotting instances of fraud. Take for example the simple job of reading a receipt and accurately classifying the expenses. Its possible to opt-out, but there are caveats.

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Open Source Artificial Inteligence Technical Review Software Review 172

Crunchbase News

NOVEMBER 13, 2024

Bob Ma of Copec Wind Ventures AI’s eye-popping potential has given rise to numerous enterprise generative AI startups focused on applying large language model technology to the enterprise context. First, LLM technology is readily accessible via APIs from large AI research companies such as OpenAI.

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Artificial Inteligence UI/UX Off-The-Shelf Generative AI 133

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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CIO

MARCH 14, 2025

Much of the AI work prior to agentic focused on large language models with a goal to give prompts to get knowledge out of the unstructured data. For example, in the digital identity field, a scientist could get a batch of data and a task to show verification results. So its a question-and-answer process.

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CIO

OCTOBER 30, 2024

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry.

Enterprise 209

Enterprise Artificial Inteligence Architecture Survey 209

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 119

Software Review Artificial Inteligence Generative AI AWS 119

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.

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Case Study Artificial Inteligence Study Generative AI 123

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

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.

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CIO

NOVEMBER 8, 2024

Media outlets and entertainers have already filed several AI copyright cases in US courts, with plaintiffs accusing AI vendors of using their material to train AI models or copying their material in outputs, notes Jeffrey Gluck, a lawyer at IP-focused law firm Panitch Schwarze. How was the AI trained?

Software Review 200

Software Review Open Source Technical Review Artificial Inteligence 200

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.

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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 97

AWS Machine Learning - AI

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. With the release of powerful publicly available foundation models, tools for training, fine tuning and hosting your own LLM have also become democratized. model. , "temperature":0, "max_tokens": 128}' | jq '.choices[0].text'

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CIO

NOVEMBER 7, 2024

For example, because they generally use pre-trained large language models (LLMs), most organizations aren’t spending exorbitant amounts on infrastructure and the cost of training the models. You use a model and then inject the content at the last minute when you need it,” Gualtieri explains.

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CIO

NOVEMBER 13, 2024

One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And the second is deploying what we call LLM Suite to almost every employee. You need people who are trained to see that.

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Weak Development Team Artificial Inteligence Technical Review Generative AI 212

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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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

O'Reilly Media - Ideas

APRIL 2, 2025

On April 22, 2022, I received an out-of-the-blue text from Sam Altman inquiring about the possibility of training GPT-4 on OReilly books. And now, of course, given reports that Meta has trained Llama on LibGen, the Russian database of pirated books, one has to wonder whether OpenAI has done the same. We chose one called DE-COP.

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AWS Machine Learning - AI

DECEMBER 2, 2024

In this post, we explore the new Container Caching feature for SageMaker inference, addressing the challenges of deploying and scaling large language models (LLMs). You’ll learn about the key benefits of Container Caching, including faster scaling, improved resource utilization, and potential cost savings.

Generative AI 107

Generative AI Artificial Inteligence Machine Learning AWS 107

Palo Alto Networks

OCTOBER 30, 2024

As policymakers across the globe approach regulating artificial intelligence (AI), there is an emerging and welcomed discussion around the importance of securing AI systems themselves. These models are increasingly being integrated into applications and networks across every sector of the economy.

Security 105

Security Artificial Inteligence Infrastructure Government 105

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.

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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 107

Artificial Inteligence AWS Machine Learning Load Balancer 107

CIO

MARCH 13, 2025

To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs. In the Randstad survey, for example, 35% of people have been offered AI training up from just 13% in last years survey.

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Part-Time VPE Weak Development Team Fractional VPE Fractional CTO 205

AWS Machine Learning - AI

APRIL 29, 2025

In the era of generative AI , new large language models (LLMs) are continually emerging, each with unique capabilities, architectures, and optimizations. Among these, Amazon Nova foundation models (FMs) deliver frontier intelligence and industry-leading cost-performance, available exclusively on Amazon Bedrock.

Artificial Inteligence 86

Artificial Inteligence Performance Data Generative AI 86

Tenable

NOVEMBER 29, 2024

For example, AI can detect when a system atypically accesses sensitive data. We're seeing the large models and machine learning being applied at scale," Josh Schmidt, partner in charge of the cybersecurity assessment services team at BPM, a professional services firm, told TechTarget. Source: “Oh, Behave!

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Artificial Inteligence Research Generative AI Technical Review 76