CIO

JANUARY 9, 2025

Generative artificial intelligence ( genAI ) and in particular large language models ( LLMs ) are changing the way companies develop and deliver software. These autoregressive models can ultimately process anything that can be easily broken down into tokens: image, video, sound and even proteins.

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TechCrunch

NOVEMBER 4, 2022

Called OpenBioML , the endeavor’s first projects will focus on machine learning-based approaches to DNA sequencing, protein folding and computational biochemistry. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Predicting protein structures.

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CIO

OCTOBER 24, 2024

Ensuring they understand how to use the tools effectively will alleviate concerns and boost engagement. High quality documentation results in high quality data, which both human and artificial intelligence can exploit.” Ivanti’s service automation offerings have incorporated AI and machine learning.

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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 16, 2023

A large language model (LLM) is a type of gen AI that focuses on text and code instead of images or audio, although some have begun to integrate different modalities. That question isn’t set to the LLM right away. And it’s more effective than using simple documents to provide context for LLM queries, she says.

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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). You can find instructions on how to do this in the AWS documentation for your chosen SDK.

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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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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.

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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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AWS Machine Learning - AI

DECEMBER 4, 2024

The NVIDIA Nemotron family, available as NVIDIA NIM microservices, offers a cutting-edge suite of language models now available through Amazon Bedrock Marketplace, marking a significant milestone in AI model accessibility and deployment. About the authors James Park is a Solutions Architect at Amazon Web Services.

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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).

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CIO

NOVEMBER 12, 2024

“I would encourage everbody to look at the AI apprenticeship model that is implemented in Singapore because that allows businesses to get to use AI while people in all walks of life can learn about how to do that. So, this idea of AI apprenticeship, the Singaporean model is really, really inspiring.” And why that role?

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Have you ever stumbled upon a breathtaking travel photo and instantly wondered where it was and how to get there? Each one of these millions of travelers need to plan where they’ll stay, what they’ll see, and how they’ll get from place to place. It will then return the place name with the highest similarity score.

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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

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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TechCrunch

JULY 20, 2021

Alex Dalyac is the CEO and co-founder of Tractable , which develops artificial intelligence for accident and disaster recovery. Here’s how we did it, and what we learned along the way. It started when I took a course on Coursera called “Machine learning with neural networks” by Geoffrey Hinton.

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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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CIO

APRIL 25, 2025

Read on to find out how such expertise can make you stand out in any industry. Artificial Intelligence Average salary: $130,277 Expertise premium: $23,525 (15%) AI tops the list as the skill that can earn you the highest pay bump, earning tech professionals nearly an 18% premium over other tech skills.

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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.

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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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Xebia

FEBRUARY 28, 2025

In short, being ready for MLOps means you understand: Why adopt MLOps What MLOps is When adopt MLOps … only then can you start thinking about how to adopt MLOps. Both the tech and the skills are there: Machine Learning technology is by now easy to use and widely available. How to solve this? Enter MLOps.

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AWS Machine Learning - AI

APRIL 22, 2025

Over the past several months, we drove several improvements in intelligent prompt routing based on customer feedback and extensive internal testing. These are more suitable when you require more control over how to route your requests and which models to use. 16% 9.38% How to read this table? 35% 9.98% Anthropic 0.86

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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.

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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? 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.

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CIO

APRIL 2, 2025

Artificial intelligence (AI) has long since arrived in companies. But how does a company find out which AI applications really fit its own goals? AI consulting: A definition AI consulting involves advising on, designing and implementing artificial intelligence solutions. This is where AI consultants come into play.

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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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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. Personalized care : Using machine learning, clinicians can tailor their care to individual patients by analyzing the specific needs and concerns of each patient.

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AWS Machine Learning - AI

OCTOBER 16, 2024

The following were some initial challenges in automation: Language diversity – The services host both Dutch and English shows. Some local shows feature Flemish dialects, which can be difficult for some large language models (LLMs) to understand. The secondary LLM is used to evaluate the summaries on a large scale.

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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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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. The implementation of these new SMP features promises several advantages for customers working with LLMs.

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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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AWS Machine Learning - AI

NOVEMBER 7, 2024

It consists of one or more components depending on the number of FM providers and number and types of custom models used. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Account limits – So far, we have discussed how to deploy the gateway solution in a single AWS account.

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