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A collection of 13 posts

How To Make Large Language Models Helpful, Harmless, and Honest

How To Make Large Language Models Helpful, Harmless, and Honest

LLMs have demonstrated impressive capabilities across various NLP tasks. However, there are instances where these models exhibit unintended behaviors, such as generating false information, pursuing inaccurate objectives, and producing harmful or biased expressions. The language modeling objective used in pre-training LLMs focuses on word prediction without considering human values or

Everything you need to know about AI Model Training

Everything you need to know about AI Model Training

The way we live, work and communicate has been revolutionized by artificial intelligence (AI). AI models are created to automate processes like natural language processing, image recognition, and decision-making that call for human-level intellect. However, creating an accurate and trustworthy AI model takes a lot of time and money. Model

A Quick Guide For Object Detection Using Yolov8

A Quick Guide For Object Detection Using Yolov8

YOLO (You Only Look Once) is a family of real-time object detection models for computer vision introduced in 2016 by Joseph Redmon et al. YOLO is known for its speed and accuracy in object detection, as it can detect objects in images or video frames in a single forward pass

Segment Anything: Automated Labeling With Foundation Model

Segment Anything: Automated Labeling With Foundation Model

Image segmentation is a critical problem in computer vision, and it involves dividing an image into multiple segments based on their visual characteristics. Accurate image segmentation is essential in many applications, including object recognition, image editing, medical image analysis, autonomous driving, and more. Figure: Image Segmentation using Segment Anything One

A Beginner's Guide to Using Foundation Models in Your Machine Learning Projects

Beginner's Guide: Using Foundation Models in ML Projects

Machine learning has become a popular tool for solving complex problems across various industries, from healthcare to finance to retail. One of the most exciting developments in the field has been the rise of foundation models, which are pre-trained models that can be fine-tuned for specific tasks. Foundation models have

Tips for Optimizing Your Workflow Automation Platform to Increase Productivity and Efficiency

Product Feature Update

How To Optimize Computer Vision Workflow For Productivity

Platforms for workflow automation are growing in popularity as businesses try to simplify their operations and increase organizational effectiveness. To achieve the greatest productivity gains, a workflow automation tool alone cannot be used. You must be aware of the best practices and methods for personalizing and integrating your workflow automation

Meta Releases SAM & It's Going To Change Data Labeling

Meta Releases SAM & It's Going To Change Data Labeling

Segmentation, the process of extracting relevant parts of an image, is a crucial but complex task that has many practical applications. For example, in cameras, segmentation is used to create beautiful portrait mode shots, which differentiate between the foreground (object of interest) and the background using segmentation. However, creating applications

Tutorial To Build AI Model For Fish Detection Using Kaggle Dataset

Tutorial To Build AI Model For Fish Detection Using Kaggle Dataset

The aquaculture industry, which involves fish farming, faces various challenges that hinder its growth and sustainability. One of the major issues is the lack of efficient and accurate monitoring of fish health, welfare, and environmental conditions, which can lead to reduced productivity, disease outbreaks, and economic losses. Traditional monitoring of

Simple Steps To Build Security Surveillance AI Model Yourself

Simple Steps To Build Security Surveillance AI Model Yourself

The security surveillance industry's problem is improving security systems' accuracy, efficiency, and scalability. This includes both hardware and software components. Traditionally, security surveillance systems are limited by human attention and can miss crucial events or activities. Security personnel may be unable to monitor all areas at all times, leading to

ML Expert's Guide To Build Object Recognition AI Model

ML Expert's Guide To Build Object Recognition AI Model

The home services industry is facing a major problem with the accuracy and efficiency of object recognition in its operations. Home services include cleaning, maintenance, repair, and installation, which require various tools, equipment, and products. However, due to the high number of items used in these services, it can be

ML Beginner's Guide to Build Driver Monitoring AI Model

ML Beginner's Guide to Build Driver Monitoring AI Model

Driver monitoring systems are increasingly important to make on-road driving safer. To do this, the car must be able to monitor the driver's behavior and intervene if necessary to ensure the safety of everyone on the road. One of the biggest challenges in developing driver monitoring systems is the complexity

Create Object Detection Model Using Python & Open CV

Create Object Detection Model Using Python & Open CV

Real-time object detection is an emerging technology that has the potential to revolutionize the way we drive. The problem it addresses is the safety concern caused by unexpected objects or obstacles on the road, which can lead to accidents and injuries. Real-time object detection technology aims to provide drivers with

ML Beginner's Guide to Build Car Damage Detection AI Model

ML Beginner's Guide to Build Car Damage Detection AI Model

The problem of vehicle damage plagues the automotive industry. Vehicles are prone to damage in several ways, including accidents, collisions, natural disasters, and wear and tear. This problem affects several industries, including car manufacturers, insurers, car rental companies, and individual vehicle owners. The insurance industry needs to quickly and accurately