CIO

APRIL 9, 2025

Universities are increasingly leveraging LLM-based tools to automate complex administrative processes. One of the earliest proponents on gen AI use for learning, Pendse discovered the technologys value for operations when the universitys internal billing department replaced a legacy procurement tool that cost hundreds of thousands of dollars.

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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

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

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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John Snow Labs

APRIL 2, 2025

The update enables domain experts, such as doctors or lawyers, to evaluate and improve custom-built large language models (LLMs) with precision and transparency. New capabilities include no-code features to streamline the process of auditing and tuning AI models.

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Artificial Inteligence Software Review Generative AI Technical Review 89

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 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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Artificial Inteligence Groups Applications Innovation 77

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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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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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 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). He is passionate about cloud and machine learning.

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CIO

DECEMBER 11, 2024

Weve evaluated all the major open source large language models and have found that Mistral is the best for our use case once its up-trained, he says. Another consideration is the size of the LLM, which could impact inference time. For example, he says, Metas Llama is very large, which impacts inference time.

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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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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 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. This is done by providing large language models (LLMs) in-context sample data with features and labels in the prompt. Here are some key observations: 1.

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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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Artificial Inteligence AWS Machine Learning Load Balancer 103

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 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

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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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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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

OCTOBER 24, 2024

Generative artificial intelligence (genAI) is the latest milestone in the “AAA” journey, which began with the automation of the mundane, lead to augmentation — mostly machine-driven but lately also expanding into human augmentation — and has built up to artificial intelligence. Artificial?

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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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Media Video Artificial Inteligence Generative AI 117

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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CIO

MARCH 18, 2025

Post-training is a set of processes and techniques for refining and optimizing a machine learning model after its initial training on a dataset. It is intended to improve a models performance and efficiency and sometimes includes fine-tuning a model on a smaller, more specific dataset.

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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.

Healthcare 345

Healthcare Artificial Inteligence Trends Artificial Intelligence 345

AWS Machine Learning - AI

MARCH 18, 2025

This application allows users to ask questions in natural language and then generates a SQL query for the users request. Large language models (LLMs) are trained to generate accurate SQL queries for natural language instructions. However, off-the-shelf LLMs cant be used without some modification.

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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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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. Solution overview We can use SMP with both Amazon SageMaker Model training jobs and Amazon SageMaker HyperPod.

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CIO

NOVEMBER 7, 2024

Right now, we are thinking about, how do we leverage artificial intelligence more broadly? It covers essential topics like artificial intelligence, our use of data models, our approach to technical debt, and the modernization of legacy systems. I think we’re very much on our way.

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AWS Machine Learning - AI

APRIL 30, 2025

Prerequisites For a successful implementation of Amazon Bedrock Model Distillation, youll need to meet several requirements. We recommend referring to the Submit a model distillation job in Amazon Bedrock in the official AWS documentation for the most up-to-date and comprehensive information. 70B as teacher and 3.2

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AWS Machine Learning - AI

APRIL 30, 2025

Similarly, when an incident occurs in IT, the responding team must provide a precise, documented history for future reference and troubleshooting. With advancement in AI technology, the time is right to address such complexities with large language models (LLMs). The user starts the annotation process.

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Artificial Inteligence Technical Review Software Review Generative AI 95

AWS Machine Learning - AI

APRIL 10, 2025

The time taken to determine the root cause is referred to as mean time to detect (MTTD). Amazon SageMaker HyperPod resilient training infrastructure SageMaker HyperPod is a compute environment optimized for large-scale frontier model training. SageMaker HyperPod runs health monitoring agents in the background for each instance.

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Training Artificial Inteligence Hardware Systems Review 112

CIO

NOVEMBER 7, 2024

TIAA has launched a generative AI implementation, internally referred to as “Research Buddy,” that pulls together relevant facts and insights from publicly available documents for Nuveen, TIAA’s asset management arm, on an as-needed basis. When the research analysts want the research, that’s when the AI gets activated. “If

Off-The-Shelf 199

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AWS Machine Learning - AI

NOVEMBER 7, 2024

Shared components refer to the functionality and features shared by all tenants. You can also bring your own customized models and deploy them to Amazon Bedrock for supported architectures. Prompt catalog – Crafting effective prompts is important for guiding large language models (LLMs) to generate the desired outputs.

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Generative AI AWS Artificial Inteligence Enterprise 113

Perficient

FEBRUARY 27, 2025

A friend recently shared a research paper from Oxford Academic about Large Language Models (LLMs) and their human-like biases. The article explains how some groups use LLMs to simulate human participants. However, it becomes risky when the LLM is wrong. I found it fascinating.

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Artificial Inteligence Artificial Intelligence Training Research 76

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. Refer to our recent overview for more details).

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