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.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Technical Review Development 52

Altexsoft

JUNE 16, 2022

Choosing the machine learning path when developing your software is half the success. Yes, it brings automation, so widely discussed machine intelligence, and other awesome perks. So, how would you measure the success of a machine learning model? Machine learning pipeline in a nutshell.

Machine Learning 91

Machine Learning Artificial Inteligence Metrics Performance 91

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.

Artificial Inteligence 236

Artificial Inteligence Generative AI ChatGPT Machine Learning 236

Netflix Tech

NOVEMBER 24, 2023

What if we could use machine learning and computer vision to support our creative team in this process? In other words, we can learn which attributes led to a title’s successful selection based on its artwork. Let’s first explore the workflow of the causal framework, as well as the data and success metrics that power it.

Machine Learning 80

Machine Learning Artificial Inteligence LAN Analysis 80

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.

Machine Learning 116

Machine Learning Artificial Inteligence Media Video 116

Xebia

JANUARY 30, 2024

How to create unique content with Large Language Models Do you sometimes struggle with creating content? Whether it’s a blog/manual/podcast you’re trying to produce, Large Language Models can help you to create unique content if you use them correctly. For our LLM, I’ve selected GPT-4.

Artificial Inteligence 147

Artificial Inteligence Azure Artificial Intelligence Video 147

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? What is IoT or Internet of Things?

Artificial Inteligence 98

Artificial Inteligence Machine Learning IoT Internet 98

Netflix Tech

NOVEMBER 11, 2022

Many users across many platforms make for a uniquely large attack surface that includes content fraud, account fraud, and abuse of terms of service. Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. The features mainly belong to two distinct classes.

Machine Learning 124

Machine Learning Artificial Inteligence Metrics Training 124

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

O'Reilly Media - Data

DECEMBER 12, 2019

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML.

Machine Learning 191

Machine Learning Artificial Inteligence Technical Review Analysis 191

CIO

MARCH 15, 2024

The first leader of the fledgling Chief Digital and Artificial Intelligence Office [CDAO] in the US Department of Defense is leaving his post, but the Pentagon already has a successor lined up. Martell had previously served as head of machine learning at Lyft and as head of machine intelligence at Dropbox.

Artificial Inteligence 308

Artificial Inteligence Artificial Intelligence Big Data Analytics 308

O'Reilly Media - Data

JULY 17, 2018

Although machine learning (ML) can produce fantastic results, using it in practice is complex. MLflow offers a powerful way to simplify and scale up ML development throughout an organization by making it easy to track, reproduce, manage, and deploy models. Machine learning workflow challenges. MLflow Tracking.

Machine Learning 180

Machine Learning Artificial Inteligence Software Review Open Source 180

Xebia

FEBRUARY 1, 2024

LLM Fine-tuning NeurIPS 2023 featured a challenge to efficiently fine-tune open-source LLM models on public datasets. If you are considering fine-tuning LLMs, there are some things to consider: Infra, Data, Base Model, Training, Inference and Evaluation. To evaluate these models, the benchmarking tool HELM is used.

Artificial Inteligence 130

Artificial Inteligence Training Open Source Storage 130

AWS Machine Learning - AI

APRIL 24, 2024

To increase training samples for better learning, we also used another LLM to generate feedback scores. We present the reinforcement learning process and the benchmarking results to demonstrate the LLM performance improvement. Other users provided scores and explained how they justify the LLM answers in their notes.

Artificial Inteligence 107

Artificial Inteligence Engineering Performance Generative AI 107

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.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

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.

Artificial Inteligence 94

Artificial Inteligence Training Generative AI Machine Learning 94

CIO

APRIL 12, 2024

prides itself in delivering “legendary” customer service, and it has turned to artificial intelligence to assist with that goal. The tech team uses AI machine learning operations (AI MLOps) and AI large language model operations (LLMOps) practices. Tractor Supply Co.

Artificial Inteligence 280

Artificial Inteligence Retail Artificial Intelligence Knowledge Base 280

Cloudera

NOVEMBER 17, 2021

Every AMP includes all the dependencies, industry best practices, prebuilt models, and a business-ready AI application — All deployable with a couple clicks, allowing Data Science teams to start a new project with a working example that they can then customize to their own needs in a fraction of the time. AutoML with TPOT.

Machine Learning 122

Machine Learning Artificial Inteligence Hotels Data Engineering 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 112

Machine Learning Artificial Inteligence Training Metrics 112

Altexsoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. Google, in turn, uses the Google Neural Machine Translation (GNMT) system, powered by ML, reducing error rates by up to 60 percent. The role of a machine learning engineer in the data science team.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Openxcell

APRIL 21, 2023

In today’s fast-paced world, Machine Learning is quickly changing the way various industries and our daily lives function. This engaging blog post dives into the exciting world of Machine Learning, shedding light on what it is, why it matters, its history, types, core principles, and applications.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Training Performance 52

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. This typically requires retraining or otherwise updating the model with the fresh data. Monitoring. Why this blog post?

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

O'Reilly Media - Data

JUNE 5, 2018

Why model development does not equal software development. Artificial intelligence is still in its infancy. Today, just 15% of enterprises are using machine learning, but double that number already have it on their roadmaps for the upcoming year. Models degrade in accuracy as soon as they are put in production.

Artificial Inteligence 160

Artificial Inteligence Machine Learning Software Review Weak Development Team 160

O'Reilly Media - Data

AUGUST 7, 2018

New survey results highlight the ways organizations are handling machine learning's move to the mainstream. As machine learning has become more widely adopted by businesses, O’Reilly set out to survey our audience to learn more about how companies approach this work. What metrics are used to evaluate success?

Machine Learning 144

Machine Learning Artificial Inteligence Survey Company 144

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. In this article, we explore model governance, a function of ML Operations (MLOps). Machine Learning Model Lineage. Machine Learning Model Visibility .

Machine Learning 82

Machine Learning Artificial Inteligence Weak Development Team Construction 82

CIO

MAY 15, 2024

And your lighthouse strategy sponsor takes accountability for aanswering: “How can we proactively explore what genAI means for evolving or expanding our business model?” The table below is a “genAI strategy sponsor” cheat sheet for bootstrapping vision, crafting metrics, and driving progress.

Artificial Inteligence 304

Artificial Inteligence Generative AI Biotech Artificial Intelligence 304

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

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Cloudera

APRIL 9, 2021

Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. So let’s introduce Cloudera Machine Learning (CML) and discuss how it addresses the aforementioned silo issues.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

KitelyTech

JUNE 9, 2022

Today’s businesses are using machine learning algorithms to improve internal and customer-facing operations, leading to better experiences for customers. Machine Learning (ML) lets companies harness the power of artificial intelligence and modern technologies to improve in ways that were not possible before.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Applications Artificial Intelligence 52

Cloudera

DECEMBER 7, 2022

C (Cloudera is headquartered in the US, but we also recognize the superiority of the metric system). The data innovation that I was most excited to learn about though is the implementation of a human-in-the-loop (HITL) machine learning (ML) solution to assist referees in more accurately calling offsides.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Systems Review Technical Review 72

CIO

APRIL 8, 2024

Computer vision, AI, and machine learning (ML) all now play a role. Jamie Capel-Davies, head of science and technical for ITF, says metrics don’t mean much if you can’t communicate them effectively in time to make use of them. Capel-Davies’ advice: Focus on communication.

Sport 265

Sport Games Analytics Artificial Inteligence 265

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning 89

Machine Learning Artificial Inteligence Architecture Training 89

O'Reilly Media - Ideas

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Real modeling begins once in production.

Machine Learning 92

Machine Learning Artificial Inteligence Software Review Conference 92

InfoBest

SEPTEMBER 19, 2021

Machine learning development. In the case of companies looking to improve their workflows and to become more digital it is usually machine learning development, a branch of A.I. Machine learning development, compared to more classic A.I., Machine learning development, compared to more classic A.I.,

Machine Learning 52

Machine Learning Artificial Inteligence Development Training 52

Erik Bernhardsson

DECEMBER 11, 2017

Jeremy Stanley pointed out: “If you can place a dollar value on a unit of each metric, then you could use the total as a single metric”. Instead of using say “purchased a widget” as an outcome metric, try to predict based on user attributes whether the user is going to purchase the widget. Reading material. The idea is simple.

Machine Learning 127

Machine Learning Artificial Inteligence Metrics Testing 127