Unite.AI

AUGUST 19, 2023

Here is a look at some of the best features of Jasper: More than 11,000 free fonts and 2,500 categories of writing styles Supports 25+ languages Intuitive interface Long-form writing assistant (1,000+ words) Identify key elements in text (pronouns, verbs, names, etc.) Also see how Jasper compares against leading AI writing generators.

AI Tools 240

AI Tools AI AI Artificial Intelligence 240

PyImageSearch

FEBRUARY 6, 2023

This is the 3rd lesson in our 4-part series on OAK 101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API Training a Custom Image Classification Network for OAK-D (today’s tutorial) OAK 101: Part 4 To learn how to train an image classification network for OAK-D, just keep reading.

Auto-classification 144

Auto-classification Computer Vision Neural Network Deep Learning 144

Heartbeat

FEBRUARY 13, 2023

One of the main issues developers face is how to efficiently handle and process massive volumes of multimedia data, such as images. In this article, I will provide a detailed overview of Kangas, including information on how to install it and its advantages over other Python libraries. What is Comet?

Data Science 94

Data Science Python Deep Learning Data Scientist 94

O'Reilly Media

AUGUST 8, 2023

It might be a surprise how quickly it got to the top of our charts: it peaked in May as the 6th most common search query. And, while I’ve written frequently about how ChatGPT will change programming, it will undoubtedly have an even greater effect on non-programmers. So there are plenty of reasons for ChatGPT to surge.

ChatGPT 72

ChatGPT Large Language Models Machine Learning LLM 72

PyImageSearch

JANUARY 9, 2023

Finally, in the fourth and fifth parts, we will discuss how we can make inference with our end-to-end face recognition system to identify new faces in real-time. To learn how to develop Face Recognition applications using Siamese Networks, just keep reading. Looking for the source code to this post?

Computer Vision 103

Computer Vision Deep Learning Neural Network Algorithm 103

Unite.AI

OCTOBER 25, 2023

This is not just your run-of-the-mill virtual camera; it's a revolutionary AI tool to redefine how we capture and experience video content. You can enhance video quality by connecting FineShare to your phone's camera, DSLR, webcam, or laptop camera. In the world of virtual cameras, one software stands out: Fineshare.

AI 264

AI AI AI Tools Algorithm 264

Flipboard

JULY 31, 2023

In this post, we’ll show you the datasets you can use to build your machine learning projects. If you’re short on time, we’ll cut right to the chase here. We think the best datasets are available for free on Roboflow. After you create a free account, you’ll have access to the best machine learning datasets. Many call this software 2.0.

Machine Learning 104

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 104

The MLOps Blog

JANUARY 5, 2023

2 How is visual search different from OCR? Every episode is focused on one specific ML topic, and during this one, we talked to Kuba Cieślik, founder and AI Engineer at tuul.ai , about building visual search engines. You’ll learn about: 1 What is visual search? All right, let’s get to it. Sabine: Hello, everybody. Welcome, Kuba.

Computer Vision 52

Computer Vision Machine Learning ML Explainability 52

Google Research AI blog

MARCH 23, 2023

While there have been many recent advances in training joint visual-language models on Internet-scale data, figuring out how to best connect them to a spatial representation of the physical world that can be used by robots remains an open research question.

Robotics 114

Robotics Cognitive Map 114

PyImageSearch

JUNE 12, 2023

This lesson is the 2nd of a 3-part series on DETR Breakdown : DETR Breakdown Part 1: Introduction to DEtection TRansformers DETR Breakdown Part 2: Methodologies and Algorithms (this tutorial) DETR Breakdown Part 3: Architecture and Details To learn about the methodologies applied in Detection Transformers, just keep reading. The DETR Model ?️

Algorithm 60

Algorithm Computer Vision Deep Learning Artificial Intelligence 60

O'Reilly Media

NOVEMBER 28, 2023

A few have even tried out Bard or Claude, or run LLaMA 1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. What’s the reality? Only 4% pointed to lower head counts.

Generative AI 108

Generative AI AI AI Data Analysis 108

PyImageSearch

SEPTEMBER 25, 2023

So, how do their recommendations actually work? This lesson is the 2nd in a 3-part series on Deep Dive into Popular Recommendation Engines 102 : Amazon Product Recommendation Systems YouTube Video Recommendation Systems (this tutorial) Spotify Music Recommendation Systems To learn how YouTube recommender systems work, just keep reading.

Computer Vision 120

Computer Vision Deep Learning Neural Network Algorithm 120

Snorkel AI

APRIL 13, 2023

She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023. Today I’ll talk about how we arrived at AMA and why we think these results are exciting in the broader context of using foundation models for building software systems.

Machine Learning 52

Machine Learning OpenAI ML BERT 52

Snorkel AI

APRIL 13, 2023

She presented “Ask Me Anything: How are Foundation Models Changing the Way We Build Software” at Snorkel AI’s Foundation Model Virtual Summit 2023. Today I’ll talk about how we arrived at AMA and why we think these results are exciting in the broader context of using foundation models for building software systems.

Machine Learning 52

Machine Learning OpenAI ML BERT 52

Dlabs.ai

MAY 17, 2021

When you work in artificial intelligence, you must constantly refresh your knowledge and use the latest AI tools to avoid slipping behind the field. And the best way to keep up is to follow the right resources. We recently recommended the top AI influencers to follow , but there’s more to life than social media. 17 AI Blogs and Websites to Read 1.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Tools Machine Learning 52

PyImageSearch

JANUARY 8, 2024

Project Structure Creating Adversarial Examples Robustness Toward Adversarial Examples Summary Citation Information Adversarial Learning with Keras and TensorFlow (Part 1): Overview of Adversarial Learning In this tutorial, you will learn about adversarial examples and how they affect the reliability of neural network-based computer vision systems.

Computer Vision 64

Computer Vision Neural Network Deep Learning Artificial Intelligence 64

PyImageSearch

JUNE 26, 2023

In the first blog post of this series, we understood why and how DETR was born, its key features, and how it differs from previous models. This tutorial will examine the model to understand how each component comes together to achieve end-to-end object detection. CNN Backbone ? Transformer Preprocessing ⚙️ Transformer Encoder ?

Convolutional Neural Networks 103

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 103

PyImageSearch

SEPTEMBER 18, 2023

This lesson is the last of a 2-part series on Segment Anything Model (SAM) from Meta AI : SAM from Meta AI (Part 1): Segmentation with Prompts SAM from Meta AI (Part 2): Integration with CLIP for Downstream Tasks (this tutorial) To learn how to integrate SAM with CLIP for downstream tasks, just keep reading.

Computer Vision 67

Computer Vision Deep Learning AI AI 67

PyImageSearch

MARCH 13, 2023

Transformers Ecosystem How to Train an Instance Segmentation Model with MaskFormer? Transformer s In this tutorial, we will learn how to train MaskFormer on a Colab Notebook to perform panoptic segmentation. Table of Contents Train a MaskFormer Segmentation Model with Hugging Face ? We will use the ?Transformers Evaluate library.

Computer Vision 117

Computer Vision Deep Learning Neural Network Metadata 117

PyImageSearch

NOVEMBER 6, 2023

You’ll also appreciate the pivotal role of image segmentation in various applications, from medical imaging to autonomous driving, and how U-Net stands out as a beacon in this domain. By the end of this tutorial, you’ll have a robust grasp of how to implement, train, and evaluate the U-Net model using PyTorch.

Computer Vision 67

Computer Vision Neural Network Deep Learning Categorization 67

Heartbeat

APRIL 18, 2023

VGG Neural Network Architecture —  Source The convolutional layers are responsible for extracting features from the input image, while the fully connected layers are responsible for classifying the image into different categories. Import the library [link] Dataset This article’s dataset includes 15 distinct categories of human activities.

Convolutional Neural Networks 52

Convolutional Neural Networks Deep Learning Neural Network Machine Learning 52

PyImageSearch

AUGUST 7, 2023

feed recommendations, talent recommendations, course recommendations) and how they work behind the scenes. LinkedIn has made it easier for professionals to connect and build their network, look for new job opportunities, get professional advice from others in the same field, and build connections to help them advance in their careers.

Computer Vision 98

Computer Vision Neural Network Deep Learning Algorithm 98

PyImageSearch

OCTOBER 2, 2023

This will encompass experiments ranging from latent space visualization to image generation. By the conclusion, you’ll have a deep appreciation for VAEs, their capabilities in image generation, and the intricacies of the dataset. So, are you ready to delve into the captivating realm of VAEs with PyTorch? Let’s get started!

Computer Vision 120

Computer Vision Deep Learning Neural Network Auto-complete 120

PyImageSearch

SEPTEMBER 11, 2023

Furthermore, you will learn how SAM can be used for making segmentation predictions in real-time and how you can integrate it with your own computer vision projects. To learn how to use SAM in your own projects, just keep reading. Looking for the source code to this post?

Computer Vision 117

Computer Vision AI AI Prompt Engineer 117

PyImageSearch

JULY 17, 2023

We will then explore different testing situations (e.g., visualizing the latent space, uniform sampling of data points from this latent space, and recreating images using these sampled points). We’re about to dive deep into this tutorial. But first things first — you’ll need to access our dataset. Let’s rewind a bit.

Computer Vision 98

Computer Vision Deep Learning Python Machine Learning 98

PyImageSearch

FEBRUARY 12, 2024

Introduction to Gemini Pro Vision Image Processing with Gemini Pro (this tutorial) Lesson 3 Lesson 4 Lesson 5 Lesson 6 To learn how to use Gemini Pro for generating various image processing techniques and to understand its comparative performance against ChatGPT-3.5, offering insights into the strengths and nuances of each. just keep reading.

Computer Vision 64

Computer Vision Python Deep Learning ChatGPT 64

The MLOps Blog

JUNE 27, 2023

How to evaluate MLOps tools and platforms Like every software solution, evaluating MLOps (Machine Learning Operations) tools and platforms can be a complex task as it requires consideration of varying factors. Open-source tools have gained significant traction due to their flexibility, community support, and adaptability to various workflows.

Machine Learning 134

Machine Learning Metadata Data Quality Data Scientist 134

PyImageSearch

DECEMBER 19, 2022

This is the 2nd lesson in our 4-part series on OAK-101 : Introduction to OpenCV AI Kit (OAK) OAK-D: Understanding and Running Neural Network Inference with DepthAI API (today’s tutorial) OAK 101: Part 3 OAK 101: Part 4 To learn how DepthAI API works and run neural network inference on OAK-D, just keep reading.

Neural Network 52

Neural Network Computer Vision Deep Learning Metadata 52

Explosion

MARCH 17, 2019

Prodigy is a fully scriptable annotation tool that complements spaCy extremely well. Most NLP projects are easier if you have a way to train models on exactly your data. This lets you improve accuracy, and customize the label set. Prodigy’s community has been growing quickly, allowing us to keep spaCy fully funded without any external investment.

NLP 52

NLP Python Neural Network Natural Language Processing 52

Ines Montani

FEBRUARY 16, 2024

People often ask me for tips and tooling recommendations, so in this guide, I’m sharing some of my not-so-secret secrets and three beginner-friendly steps for how you can up your slides game for the upcoming conference season! It’s fun and keeps me motivated to put in the work and actually write my talks.

Explainability 144

Explainability 144

Topbots

APRIL 28, 2023

Note: These experiments aim not to measure how creative the models are, but rather to measure the level of creative process present in the model generations. Rather, I aim to show how the models respond to particular measures of creative processes. I use both a subjective and objective lens to understand the behavior of these models.

Large Language Models 52

Large Language Models Natural Language Processing Robotics Explainability 52

John Snow Labs

JULY 19, 2023

In the burgeoning world of artificial intelligence, large language models (LLMs) are the new vanguard, shaping how we interact with machines and expanding the boundaries of what technology can achieve. While OpenAI is well-known, these companies bring fresh ideas and tools to the LLM world. billion in funding by June 2023.

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LLM OpenAI Large Language Models NLP 98