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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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

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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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.

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TechCrunch

NOVEMBER 16, 2020

Using the pandemic as an example, Gultekin says you could use his company’s software to identify everyone who is not wearing a mask in the building or everyone who is not wearing a hard hat at construction site. “It means dummy or idiot, which is what artificial intelligence is today. “We’re immigrants.

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Netflix Tech

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Case study: scaling match cutting using the media ML infra The Media Machine Learning Infrastructure is empowering various scenarios across Netflix, and some of them are described here.

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TechCrunch

OCTOBER 29, 2021

While at Wish, we learned that to offer the right shopping experience, you had to do absolute personalization,” Li told TechCrunch. That was done with machine learning engineers, but when I left Wish and was advising brands, I found that what we had at Wish was rare. Social commerce startup Social Chat is out to change that.

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TechCrunch

JULY 7, 2022

In the construction business, time is money. But with so many moving parts, it can be extremely challenging for construction companies to manage the administrative aspects of their finances. Adaptive , an 11-month-old startup that has set out to give construction teams better tools to manage their back offices, has raised $6.5

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TechCrunch

MAY 17, 2022

In the construction industry, managers can become disconnected from what’s happening on-site — particularly when dealing with pandemic-related disruptions. One study found that 85% of construction projects over the course of a 70-year period experienced cost overruns and just 25% came close to their original deadlines.

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AWS Machine Learning - AI

DECEMBER 11, 2024

This pipeline is illustrated in the following figure and consists of several key components: QA generation, multifaceted evaluation, and intelligent revision. 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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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

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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DataRobot

JULY 21, 2022

Download the Machine Learning Project Checklist. Planning Machine Learning Projects. Machine learning and AI empower organizations to analyze data, discover insights, and drive decision making from troves of data. More organizations are investing in machine learning than ever before.

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Openxcell

MARCH 23, 2023

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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TechCrunch

MAY 27, 2022

In 2015, the launch of YOLO — a high-performing computer vision model that could produce predictions for real-time object detection — started an avalanche of progress that sped up computer vision’s jump from research to market.

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TechCrunch

FEBRUARY 7, 2023

More posts by this contributor A VC shares 5 things no one told you about pitching VCs 5 factors founders must consider before choosing their VC For artificial intelligence, 2022 was a year of breakthroughs. We believe this represents a significant opportunity for real estate tech entrepreneurs.

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TechCrunch

NOVEMBER 13, 2020

Startups are talking about technology shifts and customer demands that the executives inside the large company — even if they have “innovation,” “IT,” or “emerging technology” in their titles — just don’t see as an urgent priority yet, or can’t sell to their colleagues. AI/machine learning. AI/machine learning.

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AWS Machine Learning - AI

APRIL 1, 2025

Model Context Protocol (MCP) is a standardized open protocol that enables seamless interaction between large language models (LLMs), data sources, and tools. It makes sure infrastructure as code (IaC) follows AWS Well-Architected principles from the start.

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InfoWorld

FEBRUARY 15, 2024

Machine learning (ML) is becoming an increasingly important part of the modern application stack. Whether it’s large-scale, public large language models (LLM) like GPT or small-scale, private models trained on company content, developers need to find ways of including those models in their code.

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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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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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TechCrunch

JANUARY 25, 2022

In the background, machine learning models and artificial intelligence-powered humans in the loop do the structuring for our customers, which include food delivery, e-commerce and point-of-sale,” Nemrow added. Nemrow and Will Bewley founded the San Francisco-based company in 2017. “In

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CIO

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. CIOs and CDOs should lead ModelOps and oversee the lifecycle Leaders can review and address issues if the data science teams struggle to develop models.

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CIO

JANUARY 26, 2024

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. A joint venture with the MIT Schwarzman College of Computing offers three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D).

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AWS Machine Learning - AI

MARCH 3, 2025

The launcher will interface with your cluster with Slurm or Kubernetes native constructs. This design simplifies the complexity of distributed training while maintaining the flexibility needed for diverse machine learning (ML) workloads, making it an ideal solution for enterprise AI development.

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AWS Machine Learning - AI

APRIL 24, 2024

The Amazon EU Design and Construction (Amazon D&C) team is the engineering team designing and constructing Amazon warehouses. The team navigates a large volume of documents and locates the right information to make sure the warehouse design meets the highest standards. During the pilot, users provided 118 feedback responses.

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TechCrunch

NOVEMBER 19, 2020

real estate technology fund Round Hill Ventures and Norway’s Construct Venture. Andrew Anagnost: I think Autodesk, for a while … has had a very clearly stated strategy about using the power of the cloud; cheap compute in the cloud and machine learning/artificial intelligence to kind of evolve and change the way people design things.

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Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

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TechCrunch

DECEMBER 17, 2021

The Atlanta-based startup, which has raised $30 million in a Series B round of funding led by Coatue, claims that in 2021, its software helped design and construction professionals avoid 5x more carbon than Tesla. . Enter cove.tool , a startup that wants to make sure buildings are sustainable by design from the moment of inception.

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Cloudera

OCTOBER 3, 2022

You’ve found an awesome data set that you think will allow you to train a machine learning (ML) model that will accomplish the project goals; the only problem is the data is too big to fit in the compute environment that you’re using. <end code block> Launching workers in Cloudera Machine Learning.

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AWS Machine Learning - AI

OCTOBER 31, 2024

The solution integrates large language models (LLMs) with your organization’s data and provides an intelligent chat assistant that understands conversation context and provides relevant, interactive responses directly within the Google Chat interface. Which LLM you want to use in Amazon Bedrock for text generation.

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AWS Machine Learning - AI

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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John Snow Labs

JULY 19, 2023

Exploring the Innovators and Challengers in the Commercial LLM Landscape beyond OpenAI: Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding, offers Dolly, an open-source model operating locally.

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AWS Machine Learning - AI

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. Therefore, eSentire decided to build their own LLM using Llama 1 and Llama 2 foundational models.

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AWS Machine Learning - AI

JUNE 20, 2024

We used a large language model (LLM) with query examples to make the search work using the language used by Imperva internal users (business analysts). Data was made available to our users through a simplified user experience powered by an LLM. The response by the LLM is not deterministic.

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AWS Machine Learning - AI

MARCH 28, 2024

Solution overview In this post, we demonstrate the use of Mixtral-8x7B Instruct text generation combined with the BGE Large En embedding model to efficiently construct a RAG QnA system on an Amazon SageMaker notebook using the parent document retriever tool and contextual compression technique.

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AWS Machine Learning - AI

MAY 7, 2024

A more efficient way to manage meeting summaries is to create them automatically at the end of a call through the use of generative artificial intelligence (AI) and speech-to-text technologies. The Hugging Face containers host a large language model (LLM) from the Hugging Face Hub.

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