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.

Machine Learning 314

Machine Learning Artificial Inteligence Technical Review Training 314

TechCrunch

APRIL 7, 2021

One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.

Artificial Inteligence 333

Artificial Inteligence Machine Learning Artificial Intelligence Data 333

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.

Machine Learning 295

Machine Learning Artificial Inteligence Data Architecture 295

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.

Artificial Inteligence 354

Artificial Inteligence Machine Learning Recruiting AWS 354

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. .

Artificial Inteligence 266

Artificial Inteligence Machine Learning Open Source Training 266

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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Artificial Inteligence Training AWS Machine Learning 261

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 essentially very large pre-trained models that encode a lot of semantic and structural knowledge about a domain of data.

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Artificial Inteligence Machine Learning Company Artificial Intelligence 316

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.

Machine Learning 98

Machine Learning Artificial Inteligence Open Source Training 98

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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Artificial Inteligence Machine Learning Development Construction 90

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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Artificial Inteligence Machine Learning Open Source Automotive 251

The Crazy Programmer

FEBRUARY 7, 2020

We are talking about machine learning and artificial intelligence. On the other hand Machine Learning is the ability of machines to learn on their own without being explicitly programmed. Machine learning algorithms generally uses previous data and try to generate knowledge based on that data.

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Artificial Inteligence Artificial Intelligence Machine Learning Knowledge Base 197

CIO

APRIL 26, 2023

What’s not often discussed, however, are the mistakes IT leaders make when establishing and supervising training programs, particularly when training is viewed as little more than an obligatory task. Is your organization giving its teams the training they need to keep pace with the latest industry developments?

Training 264

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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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Artificial Inteligence Machine Learning Training Artificial Intelligence 152

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. The resulting LLM outperforms LLMs trained on non-domain-specific datasets when tested on finance-specific tasks.

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Artificial Inteligence Training Generative AI Machine Learning 94

TechCrunch

MAY 30, 2022

Strong Compute , a Sydney, Australia-based startup that helps developers remove the bottlenecks in their machine learning training pipelines, today announced that it has raised a $7.8 ” Strong Compute wants to speed up your ML model training. . ” Strong Compute wants to speed up your ML model training.

Training 278

Training Artificial Inteligence Machine Learning Company 278

O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 8] Data about individuals can be decoded from ML models long after they’ve trained on that data (through what’s known as inversion or extraction attacks, for example). ML security audits.

Machine Learning 197

Machine Learning Artificial Inteligence Technical Review Analysis 197

Perficient

FEBRUARY 27, 2023

Machine learning is now being used all around the world and its helping analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data.

Machine Learning 64

Machine Learning Artificial Inteligence Training Metrics 64

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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Artificial Inteligence Machine Learning Artificial Intelligence Training 93

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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Artificial Inteligence Machine Learning Examples Artificial Intelligence 98

Netflix Tech

NOVEMBER 11, 2022

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. In semi-supervised anomaly detection models, only a set of benign examples are required for training. That’s up to the machine learning model to discover and avoid such false-positive incidents.

Machine Learning 124

Machine Learning Artificial Inteligence Metrics Training 124

The Parallax

JUNE 5, 2019

The mirror, built by the CareOS subsidiary of the French tech company Baracoda , offers personalized recommendations guided by Google’s TensorFlow Lite machine-learning algorithm platform. READ MORE ON MACHINE LEARNING. How Facebook fights fake news with machine learning and human insights.

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Artificial Inteligence Machine Learning Training Banking 169

Apiumhub

DECEMBER 8, 2022

In this article, we will look at the Linear Regression model for Machine Learning , which is one of the most basic models available. With this definition, we now must see the way to train a model following this equation. We have seen the basics of linear regression and its applications to machine learning.

Machine Learning 81

Machine Learning Artificial Inteligence Training Retail 81

Altexsoft

JULY 23, 2020

When speaking of machine learning, we typically discuss data preparation or model building. The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data.

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Artificial Inteligence Machine Learning DevOps Tools 145

Exadel

APRIL 13, 2021

Python is irreplaceable for Machine Learning, but running Python in production can be a problem if other parts of the system are written using C#. ML.NET is a Machine Learning library for C# that helps deliver Machine Learning features in a.NET environment more quickly. That is where ML.NET can help.

Machine Learning 119

Machine Learning Artificial Inteligence Microservices Training 119

O'Reilly Media - Data

MAY 16, 2018

Answers to the three most commonly asked questions about maintaining GDPR-compliant machine learning programs. But there’s perhaps no more important—or uncertain—question than how the regulation will impact machine learning (ML), in particular. Does the GDPR prohibit machine learning? Pretty unlikely.

Machine Learning 204

Machine Learning Artificial Inteligence Training Technical Review 204

Openxcell

MARCH 21, 2023

MACHINE LEARNING- the most hyped technology these days due to its ability to automate tasks, detect patterns and learn from the data. In this blog, you will find out the importance of Machine Learning and how it is changing the environment around us. What is Machine Learning?

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Artificial Inteligence Machine Learning Artificial Intelligence Training 52

O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. For example, Uber and Facebook have built Michelangelo and FBLearner Flow to manage data preparation, model training, and deployment. Machine learning workflow challenges. algorithm) to see whether it improves results.

Machine Learning 183

Machine Learning Artificial Inteligence Software Review Open Source 183

TechCrunch

NOVEMBER 4, 2021

Enter Sama , a company providing high-quality training data that powers AI technology applications. CEO Wendy Gonzalez said the company is developing the first end-to-end AI tool for training data through machine learning.

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Artificial Inteligence Training Machine Learning Data 242

Netflix Tech

MARCH 4, 2024

The major services are as follows: Nightingale is a service running the ML model trained using Metaflow and is responsible for generating a retry recommendation. Training: Each record in the training set represents a potential retry which previously failed due to memory configuration errors or unclassified errors.

Machine Learning 84

Machine Learning Artificial Inteligence Data Systems Review 84

Altexsoft

MAY 12, 2022

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

Machine Learning 122

Machine Learning Artificial Inteligence Analysis Energy 122

O'Reilly Media - Ideas

JUNE 9, 2020

The biggest problem facing machine learning today isn’t the need for better algorithms; it isn’t the need for more computing power to train models; it isn’t even the need for more skilled practitioners. It’s getting machine learning from the researcher’s laptop to production.

Machine Learning 111

Machine Learning Artificial Inteligence Training Metrics 111

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. Afterward, the data is labeled to create training and testing datasets.

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Artificial Inteligence Machine Learning Technical Review Development 52

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.

Machine Learning 82

Machine Learning Artificial Inteligence Weak Development Team Construction 82

TechCrunch

NOVEMBER 28, 2022

It’s only as good as the models and data used to train it, so there is a need for sourcing and ingesting ever-larger data troves. But annotating and manipulating that training data takes a lot of time and money, slowing down the work or overall effectiveness, and maybe both. V7 even lays out how the two services compare.)

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Training Data Technical Review Artificial Inteligence 240

O'Reilly Media - Data

SEPTEMBER 13, 2018

With that in mind, chatbots and intelligent assistants are bound to improve as underlying algorithms, technologies, and training data get better. Continue reading Using machine learning to improve dialog flow in conversational applications. As I described in a recent post , workflow automation will happen in stages.

Machine Learning 208

Machine Learning Artificial Inteligence Applications Open Source 208

Hacker Earth Developers Blog

MAY 22, 2020

In our third episode of Breaking 404 , we caught up with Srivatsan Ramanujam, Director of Software Engineering: Machine Learning, Salesforce to discuss everything about Machine Learning and the best practices for ML engineers to excel in their careers. Again, focus on Data Science and Machine Learning.

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Machine Learning Artificial Inteligence Software Engineering Engineering 130

Dzone - DevOps

MARCH 29, 2023

Machine learning has become an integral part of many industries, from healthcare to finance and beyond. However, even the most accurate and well-trained machine learning models are useless if they're not deployed in a production environment. That's where machine learning model deployment comes in.

Machine Learning 52

Machine Learning Artificial Inteligence Healthcare Training 52