Unite.AI

JANUARY 26, 2024

Approaches to overcome this generally fall into two main categories: Model Compression Techniques These techniques aim to reduce the size of the model while maintaining accuracy. LLMs are being incorporated into various applications such as chatbots, search engines, and programming assistants.

Large Language Models 241

Large Language Models LLM Software Architect Chatbots 241

Viso.ai

DECEMBER 10, 2023

Image Recognition is the task of identifying objects of interest within an image and recognizing which category the image belongs to. On the other hand, image recognition is the task of identifying the objects of interest within an image and recognizing which category or class they belong to. Get a personalized demo.

Convolutional Neural Networks 98

Convolutional Neural Networks Computer Vision Neural Network Deep Learning 98

Mlearning.ai

MAY 23, 2023

Object Detection using SSD In this blog, we will use Single Shot Detections for performing Object Detection using SSD in the simplest way possible. SSDs are very fast in Object Detection when compared to those big boys like R-CNN or Fast R-CNN, etc. This is going to be a very fun project with endless use cases.

Machine Learning 52

Machine Learning Python Algorithm Deep Learning 52

Mlearning.ai

MAY 21, 2023

Object Detection using SSD In this blog, we will use Single Shot Detections for performing Object Detection using SSD in the simplest way possible. SSDs are very fast in Object Detection when compared to those big boys like R-CNN or Fast R-CNN, etc. So without any further due, let’s do it… Working Video of our App [link] 6.

Machine Learning 52

Machine Learning Python Algorithm Deep Learning 52

Mlearning.ai

JUNE 6, 2023

Object Detection using SSD In this blog, we will use Single Shot Detections for performing Object Detection using SSD in the simplest way possible. SSDs are very fast in Object Detection when compared to those big boys like R-CNN or Fast R-CNN, etc. Home Screen Results Screen Wordcloud Working Video of our App [link] 5.

Machine Learning 52

Machine Learning Python Computer Vision Convolutional Neural Networks 52

The MLOps Blog

DECEMBER 29, 2022

Those are very different categories of optimizing models. There’s a certain level where you have to start going down below the global interpreter lock into C++ again because to enable true parallelism, you definitely can. I think the differences are looking at training optimizations versus production inference.

ML 52

ML Auto-complete Machine Learning Python 52