TechCrunch

MAY 9, 2022

For instance, you can classify text, extract information, automatically answer questions, summarize text, generate text, etc. Due to the success of this libary, Hugging Face quickly became the main repository for all things related to machine learning models — not just natural language processing.

Machine Learning 314

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AWS Machine Learning - AI

APRIL 9, 2025

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements.

Artificial Inteligence 128

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CIO

OCTOBER 24, 2024

Take for instance large language models (LLMs) for GenAI. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses. Artificial Intelligence: A turning point in cybersecurity The cyber risks introduced by AI, however, are more than just GenAI-based.

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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

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CIO

NOVEMBER 5, 2024

Our commitment to customer excellence has been instrumental to Mastercard’s success, culminating in a CIO 100 award this year for our project connecting technology to customer excellence utilizing artificial intelligence. We live in an age of miracles. When a customer needs help, how fast can our team get it to the right person?

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Cloudera

DECEMBER 9, 2024

Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI).

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CIO

NOVEMBER 4, 2024

Jeff Schumacher, CEO of artificial intelligence (AI) software company NAX Group, told the World Economic Forum : “To truly realize the promise of AI, businesses must not only adopt it, but also operationalize it.” Most AI hype has focused on large language models (LLMs).

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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. Ive spent more than 25 years working with machine learning and automation technology, and agentic AI is clearly a difficult problem to solve. Agentic AI goes beyond that.

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AWS Machine Learning - AI

APRIL 10, 2025

In this post, we seek to address this growing need by offering clear, actionable guidelines and best practices on when to use each approach, helping you make informed decisions that align with your unique requirements and objectives. Under Models , choose your custom model. Under Knowledge Bases, choose Create. Choose Next.

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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 106

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AWS Machine Learning - AI

NOVEMBER 14, 2024

If an image is uploaded, it is stored in Amazon Simple Storage Service (Amazon S3) , and a custom AWS Lambda function will use a machine learning model deployed on Amazon SageMaker to analyze the image to extract a list of place names and the similarity score of each place name. Here is an example from LangChain.

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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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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 77

TechCrunch

AUGUST 9, 2021

Ahmer Inam is the chief artificial intelligence officer (CAIO) at Pactera EDGE. machine learning and simulation). Conduct scenario planning exercises and inform critical business decisions. Ahmer Inam. Contributor. Share on Twitter. He has more than 20 years of experience driving organizational transformation.

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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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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. Select the model you want access to (for this post, Anthropic’s Claude). See the README.md

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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.

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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. top_p=0.95) # Create an LLM. choices[0].text'

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CIO

NOVEMBER 6, 2024

Artificial intelligence has moved from the research laboratory to the forefront of user interactions over the past two years. We use machine learning all the time. Some experts suggest the result is a digital revolution. Currently, we don’t have gen AI-driven products and services,” he says. “We

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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.

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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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AWS Machine Learning - AI

MARCH 18, 2025

In the rapidly evolving healthcare landscape, patients often find themselves navigating a maze of complex medical information, seeking answers to their questions and concerns. However, accessing accurate and comprehensible information can be a daunting task, leading to confusion and frustration.

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Artificial Inteligence Technical Review Healthcare Systems Review 112

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. Blockchain.

Healthcare 345

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AWS Machine Learning - AI

OCTOBER 16, 2024

With a growing library of long-form video content, DPG Media recognizes the importance of efficiently managing and enhancing video metadata such as actor information, genre, summary of episodes, the mood of the video, and more. Word information lost (WIL) – This metric quantifies the amount of information lost due to transcription errors.

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AWS Machine Learning - AI

DECEMBER 11, 2024

EBSCOlearning offers corporate learning and educational and career development products and services for businesses, educational institutions, and workforce development organizations. As a division of EBSCO Information Services, EBSCOlearning is committed to enhancing professional development and educational skills.

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TechCrunch

JANUARY 5, 2022

However, today’s startups need to reconsider the MVP model as artificial intelligence (AI) and machine learning (ML) become ubiquitous in tech products and the market grows increasingly conscious of the ethical implications of AI augmenting or replacing humans in the decision-making process.

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Tenable

NOVEMBER 29, 2024

Harden configurations : Follow best practices for the deployment environment, such as using hardened containers for running ML models; applying allowlists on firewalls; encrypting sensitive AI data; and employing strong authentication. Have you ever shared sensitive work information without your employer’s knowledge?

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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.

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CIO

SEPTEMBER 11, 2024

In addition, the incapacity to properly utilize advanced analytics, artificial intelligence (AI), and machine learning (ML) shut out users hoping for statistical analysis, visualization, and general data-science features. That governance would allow technology to deliver its best value.

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CIO

OCTOBER 24, 2024

A higher percentage of executive leaders than other information workers report experiencing sub-optimal DEX. Leverage AI and machine learning capabilities – through endpoint management and service desk automation platforms – to detect data “signals” such as performance trends and thresholds before they become full-blown problems.

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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

CIO

APRIL 16, 2025

Artificial intelligence has contributed to complexity. Businesses now want to monitor large language models as well as applications to spot anomalies that may contribute to inaccuracies,bias, and slow performance. Support for a wide range of large language models in the cloud and on premises.

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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. Importantly, AWS never uses customer content from Amazon Q to train its underlying AI models, making sure that company information remains private and secure.

AWS 112

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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.

Artificial Inteligence 97

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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.

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