Invid Group

MARCH 19, 2024

What Is Machine Learning Used For? By INVID With the rise of AI, the term “machine learning” has grown increasingly common in today’s digitally driven world, where it is frequently credited with being the impetus behind many technical breakthroughs. Let’s break it down. Take retail, for instance.

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TechCrunch

JANUARY 25, 2023

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Last summer could only be described as an “AI summer,” especially with large language models making an explosive entrance.

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InfoWorld

JANUARY 31, 2024

The article, Machine learning for Java developers: Algorithms for machine learning , introduced setting up a machine learning algorithm and developing a prediction function in Java. You'll get a quick introduction to Weka, a machine learning framework for Java.

Machine Learning 96

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TechCrunch

MAY 10, 2022

Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company’s internal artificial intelligence infrastructure. These are sometimes called trunk models or foundation models, a term that a group at Stanford is trying to coin.

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InfoQ Culture Methods

MARCH 7, 2024

When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation.

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CIO

SEPTEMBER 29, 2022

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. We have about 13,000 employees through this set of training and itâ??s

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CIO

APRIL 12, 2023

Data is a key component when it comes to making accurate and timely recommendations and decisions in real time, particularly when organizations try to implement real-time artificial intelligence. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

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TechCrunch

FEBRUARY 24, 2021

Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. Using Aquarium, they refined their model and improved accuracy by 13%, while cutting the cost of human reviews in half, Gao said.

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TechCrunch

DECEMBER 7, 2020

Tecton.ai , the startup founded by three former Uber engineers who wanted to bring the machine learning feature store idea to the masses, announced a $35 million Series B today, just seven months after announcing their $20 million Series A. “We help organizations put machine learning into production.

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TechCrunch

MAY 9, 2022

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. Essentially, Hugging Face is building the GitHub of machine learning. It’s a community-driven platform with a ton of repositories.

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Palo Alto Networks

APRIL 2, 2024

Artificial intelligence (AI) plays a crucial role in both defending against and perpetrating cyberattacks, influencing the effectiveness of security measures and the evolving nature of threats in the digital landscape. A large language model (LLM) is a state-of-the-art AI system, capable of understanding and generating human-like text.

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CIO

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

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TechCrunch

NOVEMBER 29, 2023

At its re:Invent conference today, Amazon’s AWS cloud arm announced the launch of SageMaker HyperPod, a new purpose-built service for training and fine-tuning large language models (LLMs). SageMaker HyperPod is now generally available. All rights reserved.

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TechCrunch

SEPTEMBER 2, 2021

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. “Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. .

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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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InfoWorld

MARCH 19, 2024

Federated learning marks a milestone in enhancing collaborative model AI training. It is shifting the main approach to machine learning , moving away from the traditional centralized training methods towards more decentralized ones. This paradigm is nothing new. I was playing around with it in the 1990s.

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CIO

JANUARY 9, 2024

That quote aptly describes what Dell Technologies and Intel are doing to help our enterprise customers quickly, effectively, and securely deploy generative AI and large language models (LLMs).Many That makes it impractical to train an LLM from scratch. Training GPT-3 was heralded as an engineering marvel.

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CIO

APRIL 30, 2024

Saudi Aramco is spearheading the innovations by embracing cutting-edge technologies like artificial intelligence, both within its core operations and beyond, which places the company ahead of the curve. These images are then analyzed using machine learning algorithms to detect oil spills and pollutants.

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InfoWorld

JANUARY 5, 2024

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of acquiring data, training models, serving predictions, and refining future results.

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Mentormate

DECEMBER 12, 2023

In a previous blog post, we introduced a five-phase framework to plan out Artificial Intelligence (AI) and Machine Learning (ML) initiatives. The Traditional Machine Learning Workflow Initiating a traditional ML project begins with collecting data. Duplicated records are identified and rectified.

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John Snow Labs

SEPTEMBER 26, 2023

The speaker, Veysel, an expert in the field of machine learning and AI applications in healthcare, will shed light on how large language models like ChatGPT, LLaMA, and Falcon are being trained to navigate the complex semantics of biomedical and clinical text The post Transforming Healthcare with Large Language Models: Solving Real-World Challenges (..)

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Exadel

JULY 6, 2022

The banking landscape is constantly changing, and the application of machine learning in banking is arguably still in its early stages. Machine learning solutions are already rooted in the finance and banking industry. Machine learning solutions are already rooted in the finance and banking industry.

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AWS Machine Learning - AI

MARCH 28, 2024

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains.

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Xebia

JANUARY 11, 2024

Collective decision-making supported by artificial intelligence (AI) is the key to boosting performance. Both human and artificial intelligence play important roles. For example, in the financial industry, it’s becoming very common to support primary decision processes with machine learning or rules-based AI.

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TechCrunch

MARCH 17, 2021

OctoML , a Seattle-based startup that offers a machine learning acceleration platform build on top of the open-source Apache TVM compiler framework project , today announced that it has raised a $28 million Series B funding round led by Addition.

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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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CIO

JANUARY 26, 2024

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering.

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CTOvision

AUGUST 17, 2020

There’s so much being said about machine learning (ML), but perhaps the train has left the station with whether many ML projects are truly AI: One of the downsides to […].

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CIO

JANUARY 24, 2024

Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. Downsides: Not generative; model behavior can be a black box; results can be challenging to explain. Don’t use generative AI for a problem that classical machine learning has already solved. Learn more.

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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. Training Performance Media model training poses multiple system challenges in storage, network, and GPUs.

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Mentormate

MARCH 19, 2024

In recent years, the fusion of machine learning (ML) and cloud computing has ushered in a new era of innovation and efficiency for businesses across industries. But what exactly is machine learning, and how does it intersect with the vast capabilities of cloud computing? What is Machine Learning?

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Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

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Prisma Clud

JULY 20, 2023

LLM and Cloud Security Let’s explore the relationship between LLMs and cloud security, discussing how these advanced models can be dangerous, as well as leveraged to improve the overall security posture of cloud-based systems. Examples of LLMs include OpenAI's ChatGPT, Google’s Bard and Microsoft's new Bing search engine.

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AWS Machine Learning - AI

APRIL 24, 2024

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.

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AWS Machine Learning - AI

DECEMBER 5, 2023

New and powerful large language models (LLMs) are changing businesses rapidly, improving efficiency and effectiveness for a variety of enterprise use cases. Speed is of the essence, and adoption of LLM technologies can make or break a business’s competitive advantage.

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Xebia

JULY 25, 2023

In this era of rapid technological advancement, Artificial Intelligence (AI) is no longer confined to data analytics or automated systems. Welcome to the incredible journey of "Pixelated Poets", a whimsical AI-driven folk band where creativity meets artificial intelligence.

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John Snow Labs

JULY 4, 2023

What are Medical Large Language Models (LLMs)? Medical or healthcare large language models (LLMs) are advanced AI-powered systems designed to do precisely that. How do medical large language models (LLMs) assist physicians in making critical diagnoses?

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