deepsense.ai

NOVEMBER 14, 2023

GenAI, understood as a class of models capable of generating human-like, high dimensional outputs like text, image or sound, is experiencing great success and explosive growth [1, 2, 3]. We’ll explore the underlying causes (both technical and business), and examine the consequences it may have for the GenAI community and beyond.We

Generative AI 100

Generative AI ML Prompt Engineer Prompt Engineering 100

AssemblyAI

DECEMBER 28, 2022

The end of 2022 is quickly approaching, and what a year it has been! In 2022, we: Launched our v9 Core Transcription Model , with significant improvements over v8. Launched new Summarization models , including Summarization models trained for specific use cases. We’re still hiring !).

AI Researcher 130

AI Researcher AI Research AI Modeling Deep Learning 130

PyImageSearch

JUNE 19, 2023

We will start by learning the basics of these systems and then delve into some of the most popular ones in detail. machine learning, statistics, probability, and algebra) are used to achieve this. Each service uses unique techniques and algorithms to analyze user data and provide recommendations that keep us returning for more.

Neural Network 56

Neural Network Computer Vision Data Mining Algorithm 56

PyImageSearch

JULY 3, 2023

In this blog post, we will dive deeper into the Netflix movies and series recommendation systems ( Figure 1 ). We all have been in a place where after a long day of work, we turn on Netflix to watch our favorite shows. And, thanks to Netflix recommendations, we don’t have to worry about what to watch.

Computer Vision 52

Computer Vision Deep Learning Algorithm Machine Learning 52

Heartbeat

JUNE 14, 2023

Introduction Deep neural network classifiers have been shown to be mis-calibrated [1], i.e., their prediction probabilities are not reliable confidence estimates. For example, the figure below shows the reliability diagram for a Resnet-110 model trained on the CIFAR-100 dataset [1]. Reliability Diagram of an uncalibrated Resnet-110.

Neural Network 59

Neural Network Computer Vision Deep Learning Explainability 59

AWS Machine Learning Blog

FEBRUARY 10, 2023

It is at the core of understanding and analyzing any football defensive strategy. There is a need for an automated coverage classification model that can scale effectively and efficiently to reduce cost and turnaround time. In this post, we deep dive into the technical details of this ML model.

Computer Vision 65

Computer Vision Machine Learning ML Convolutional Neural Networks 65

AWS Machine Learning Blog

APRIL 12, 2023

This is a guest blog post co-written with Hussain Jagirdar from Games24x7. They’ve built a deep-learning model ScarceGAN, which focuses on identification of extremely rare or scarce samples from multi-dimensional longitudinal telemetry data with small and weak labels.

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Metadata Deep Learning ML Data Science 79