AI Generated Robotic Content

Love Language: Valentine’s Day Marketing Messages that Inspire Spending

by AI Generated Robotic ContentText February 14, 2023Comments are Disabled

Holidays, especially those that involve gifting, are filled with opportunities for marketers to inspire consumers to buy something special for themselves or a loved one. Let’s face it, people feel a ton of satisfaction from getting and giving gifts, no matter the occasion. Holidays are the perfect excuse to do it. Valentine’s Day marketing is …

Smash or pass? This computer can tell

by AI Generated Robotic ContentFAANG February 14, 2023Comments are Disabled

Could an app tell if a first date is just not that into you? Engineers say the technology might not be far off. They trained a computer to identify the type of conversation two people were having based on their physiological responses alone.

Designing Data: Proactive Data Collection and Iteration for Machine Learning

by AI Generated Robotic ContentFAANG February 14, 2023Comments are Disabled

Lack of diversity in data collection has caused significant failures in machine learning (ML) applications. While ML developers perform post-collection interventions, these are time intensive and rarely comprehensive. Thus, new methods to track and manage data collection, iteration, and model training are necessary for evaluating whether datasets reflect real world variability. We present designing data, …

Scaling Media Machine Learning at Netflix

by AI Generated Robotic ContentFAANG February 14, 2023Comments are Disabled

By Gustavo Carmo, Elliot Chow, Nagendra Kamath, Akshay Modi, Jason Ge, Wenbing Bai, Jackson de Campos, Lingyi Liu, Pablo Delgado, Meenakshi Jindal, Boris Chen, Vi Iyengar, Kelli Griggs, Amir Ziai, Prasanna Padmanabhan, and Hossein Taghavi Figure 1 – Media Machine Learning Infrastructure Introduction In 2007, Netflix started offering streaming alongside its DVD shipping services. As the …

Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

by AI Generated Robotic ContentFAANG February 14, 2023Comments are Disabled

This post is co-written by Zdenko Estok, Cloud Architect at Accenture and Sakar Selimcan, DeepRacer SME at Accenture. With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training …

Touched by AI: Competitive intelligence culls new data insights

by AI Generated Robotic ContentAI/ML News February 14, 2023Comments are Disabled

Competitive intelligence algorithms combine historical and real-time data with machine learning to predict trends and optimize pricing.Read More

Confusion Spirals in Crypto as the US Cracks Down

by AI Generated Robotic ContentAI/ML News February 14, 2023Comments are Disabled

The Securities and Exchange Commission launched enforcement actions against some of the industry’s major players, raising questions over crypto’s future.

Efficient technique improves machine-learning models’ reliability

by AI Generated Robotic ContentAI/ML News February 14, 2023Comments are Disabled

Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it’s critical that humans know when to trust a model’s predictions.

I made a LoRA training guide! It’s a colab version so anyone can use it regardless of how much VRAM their graphic card has!

by AI Generated Robotic ContentImage February 13, 2023Comments are Disabled

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Save and Load Your PyTorch Models

by AI Generated Robotic ContentAI/ML Research February 13, 2023Comments are Disabled

A deep learning model is a mathematical abstraction of data, in which a lot of parameters are involved. Training these parameters can take hours, days, and even weeks but afterward, you can make use of the result to apply on new data. This is called inference in machine learning. It is important to know how …