The Netflix TechBlog

NOVEMBER 6, 2023

In order to train the model on internal training data (video clips with aligned text descriptions), we implemented a scalable version on Ray Train and switched to a more performant video decoding library. These models are trained on large amounts of image-caption pairs via in-batch contrastive learning.

Media 230

Media Social Media Tuning Engineering 230

DZone

MAY 22, 2023

Given the temporal dependency of the data, traditional validation techniques such as K-fold cross-validation cannot be applied, thereby necessitating unique methodologies for model training and validation.

Strategy 299

Strategy Engineering 299

DZone

JANUARY 28, 2025

In the field of machine learning and artificial intelligence, inference is the phase where a trained model is applied to real world data to generate predictions or decisions. Inference Time Compute Inference time compute refers to the amount of computational power required to make such predictions using a trained model.

Artificial Intelligence 147

Artificial Intelligence Processing 147

The Netflix TechBlog

DECEMBER 19, 2024

Scaling experiments with Metaboost bindingsbacked by MetaflowConfig Consider a Metaboost ML project named `demo` that creates and loads data to custom tables (ETL managed by Maestro), and then trains a simple model on this data (ML Pipeline managed by Metaflow). 50/train/251640854] Task is starting. [50/train/251640854]

Best Practices 200

Best Practices Cache Metrics Code 200

The Netflix TechBlog

FEBRUARY 13, 2023

Training Performance Media model training poses multiple system challenges in storage, network, and GPUs. We have developed a large-scale GPU training cluster based on Ray , which supports multi-GPU / multi-node distributed training. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 293

Media Storage Infrastructure Systems 293

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. There are several ways to provide explainability to models but one way is to train an explainer model based on each trained model.

Systems 231

Systems Media Cache Open Source 231

DZone

MAY 7, 2023

It’s a shorter version of a ScyllaDB University (self-paced free training) lab. The following tutorial walks you through how to use Spring Boot apps with ScyllaDB for time series data, taking advantage of shard-aware drivers and prepared statements.

Storage 285

Storage Servers Testing 285

The Netflix TechBlog

NOVEMBER 13, 2023

Practical use cases for speech & music activity Audio dataset preparation Speech & music activity is an important preprocessing step to prepare corpora for training. Content, genre and languages Instead of augmenting or synthesizing training data, we sample the large scale data available in the Netflix catalog with noisy labels.

Architecture 229

Architecture Energy Benchmarking Processing 229

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. Data Data Labeling For the task of anomaly detection in streaming platforms, as we have neither an already trained model nor any labeled data samples, we use structural a priori domain-specific rule-based assumptions, for data labeling.

C++ 316

C++ Metrics Tuning Strategy 316

Dynatrace

JANUARY 30, 2024

Furthermore, AI can significantly boost productivity if employees are properly trained on how to use the technology correctly. “It’s But if you don’t take the time to train the workforce in the programs or the systems you’re bringing online, you lose that effectiveness.

Artificial Intelligence 203

Artificial Intelligence Government Innovation Programming 203

Dynatrace

MAY 23, 2022

Training & Certification Award, NORAM. Achieving and retaining certifications is an important aspect of partnering with Dynatrace, and our winner of the NORAM Training & Certification Award – Arctiq – has demonstrated continued success in this department. Training & Certification Award, LATAM. RFO of the Year.

Games 210

Games Innovation Energy Cloud 210

The Netflix TechBlog

NOVEMBER 17, 2022

During training, our goal is to generate the best downsampled representation such that, after upscaling, the mean squared error is minimized. We focus on a robust downscaler that is trained given a conventional upscaler, like bicubic. We focus on a robust downscaler that is trained given a conventional upscaler, like bicubic.

Network 296

Network Media Innovation Efficiency 296

Dynatrace

MAY 30, 2023

Training & Certification Award DXC has stood out this year, with 50 individuals becoming Dynatrace Certified across Associate and Professional levels, and this award is a testament to that continued investment in training and enablement with Dynatrace.

Innovation 214

Innovation Cloud AWS DevOps 214

The Netflix TechBlog

JUNE 20, 2023

To address the first challenge, we use pre trained sentence-level embeddings, e.g. from an embedding model optimized for paraphrase identification , to represent text in both sources. In order to leverage this noisily aligned data source, we need to align time-stamped text (e.g.

Benchmarking 258

Benchmarking C++ Availability Programming 258

Dynatrace

AUGUST 12, 2024

In evaluating our model’s accuracy in understanding performance/errors and behavior, we use historical real user data and a standard 80-20 train-test split to train our model. It looks at these metrics across key pages to pinpoint where your users are most impacted and which metric directly impacts each page.

Airlines 249

Airlines Metrics Speed Internet 249

The Netflix TechBlog

JANUARY 30, 2023

An example of the features we might capture for this image include: number of people (two), where they’re facing (facing each other), emotion (neutral to positive), saturation (low), objects present (military uniform) We can use pre-trained models/APIs to create some of these features, like face detection and object labeling.

Media 259

Media Design Innovation Mobile 259

Dynatrace

JANUARY 17, 2024

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 223

Strategy Artificial Intelligence Storage Cloud 223

Dynatrace

JANUARY 25, 2022

Despite having to reboot Perform 2022 from onsite in Vegas to virtual, due to changing circumstances, we’re still set to offer just the same high-quality training. And, what’s more – Dynatrace offers virtual training year-round in Dynatrace University, our product education platform.

Performance 213

Performance Virtualization Education Analytics 213

The Netflix TechBlog

DECEMBER 10, 2020

Supervised A major motivation for transfer learning is to “pre-train” model parameters by first learning them on a related source task for which we have more training data. For category prediction, we train a linear model on top of the encoder representation, apply a softmax operation, and minimize the negative log likelihood.

Entertainment 240

Entertainment Architecture Network Open Source 240

Uber Engineering

OCTOBER 18, 2024

Exploring beyond third-party LLMs, Uber leverages in-house LLM training to embed domain-specific knowledge and support GenAI applications. Embracing open-source solutions unlocks top-tier training throughput and GPU utilization.

Open Source 63

Open Source Engineering 63

Dynatrace

NOVEMBER 3, 2023

Hands-on training session at PERFORM (January/February 2024) During our annual PERFORM conference , there will be a Hands-on Training (HoT) Session about Dynatrace Extensions on how to migrate to Extension Framework 2.0. Timeline of migration to Extension Framework 2.0 We will also release an SDK for our customers in the future.

Technology 248

Technology Technology Scalability Availability 248

DZone

JULY 21, 2021

The representational approach was esoteric and rigid, making training difficult. However, SysML inherited UML’s weaknesses along with its strengths. There was a lack of connection between system structure and behavior. Lack of interoperability between tools made sharing models painful.

Engineering 246

Engineering Systems Design Software 246

Dynatrace

MAY 24, 2021

In recognition of partner architects, engineers, administrators, consultants, and delivery roles that invest in formal Dynatrace training and certification, we launched Pro Club as an exclusive community for those who achieve Dynatrace Professional certification. Training & Certification Award: Accenture. Partner Pro Club.

Programming 235

Programming Cloud Virtualization Technology 235

Dynatrace

AUGUST 27, 2020

Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high quality models.

AWS 270

AWS Cloud IoT Database 270

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 214

Games Analytics Strategy Cloud 214

Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 206

Cache Azure Infrastructure Monitoring 206

Dynatrace

AUGUST 8, 2024

Employee training in cybersecurity best practices and maintaining up-to-date software and systems are also crucial. Comprehensive training programs and strict change management protocols can help reduce human errors. Possible scenarios An IT technician accidentally deletes a critical database, causing a service outage.

Software 249

Software Software Infrastructure Network 249

DZone

AUGUST 9, 2023

Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods.

Scalability 246

Scalability Best Practices Open Source Virtualization 246

Dynatrace

JULY 3, 2024

Training and Certification Award “Our APAC partners have excelled in delivering cutting-edge solutions that address the unique demands of the region. Their forward-thinking approach and unwavering commitment to quality and development have been key to our shared success. ” – Alex Lim, senior director APAC partners, Dynatrace.

Innovation 183

Innovation Technology Technology Cloud 183

Dynatrace

SEPTEMBER 30, 2021

By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term. What is the value of AWS training and certification? You and your peers – if you team up – can benefit on multiple levels from AWS training and certification.

AWS 211

AWS Best Practices Cloud Analytics 211

Dynatrace

SEPTEMBER 3, 2020

Such a solution needs to collect a substantial amount of data at first for then having a dataset (training data) that an algorithm can use to learn from. It works without identifying training data, then training and honing. Traditional AIOps is Slow. The first downside to the ML approach is that it is slow.

Software 264

Software Software Artificial Intelligence Metrics 264

The Netflix TechBlog

DECEMBER 3, 2019

On the other hand, very few data scientists feel strongly about the nature of the data warehouse, the compute platform that trains and scores their models, or the workflow scheduler. In this hypothetical example, the flow trains two versions of a model in parallel and chooses the one with the highest score.

Open Source 235

Open Source AWS Infrastructure Energy 235

Dynatrace

DECEMBER 30, 2021

With real-time causal AI, organizations can identify the root cause of issues without having to train their data models up front. That’s critical to circumvent the time-consuming process of training algorithms to understand system behavior. Traditional machine learning approaches involve time-consuming training of algorithms.

Strategy 224

Strategy Energy Cloud Innovation 224

DZone

AUGUST 20, 2020

We check public transportation apps to see when the next train is arriving at the station. On any given day, we use rideshare apps to get from one place to another. We use streaming services to watch Frasier at the end of lo-ooo-ng work days.

Transportation 211

Transportation Cloud Infrastructure Monitoring 211

Dynatrace

NOVEMBER 17, 2020

This year, we’ve increased the number of awards to partner individuals to recognize the personal achievements around training, certification, and community participation, along with recognition for partner organizations. EMEA Training and Certification Award. RFO Training and Certification Award. Partner awards. Julius Loman.

Entertainment 174

Entertainment Innovation Virtualization Cloud 174

The Netflix TechBlog

APRIL 26, 2022

We built Axion primarily to remove any training-serving skew and make offline experimentation faster. We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation. Our machine learning models train on several weeks of data. What’s our end goal?

Storage 191

Storage Design Scalability Latency 191

Dynatrace

FEBRUARY 22, 2022

Once Simone Biles reached international competition, preparation went from just training for skills to training for pressure. So you go out with a mindset that I’ve trained these skills and routines so many times, it’s just another set and go on autopilot. It’s not possible to change the game by yourself.”.

Games 241

Games Social Media Media Innovation 241