Landing AI is a computer vision platform and AI software company that offers a cloud-based computer vision software platform called LandingLens. It allows users to create custom computer vision projects in minutes via natural prompting interactions, making it fast, easy, and intuitive to build computer vision systems.
To use LandingLens, users can upload images by dragging and dropping them directly into the platform or capturing live images from their webcam. They can label objects in the images using the LandingLens labeling tool, which helps create high-quality training data for maximum accuracy. After labeling, users can train their model and evaluate its performance. Once the model is accurate enough, it can be deployed to the cloud or edge devices with just a few mouse clicks. Users can monitor the model's performance and update it as needed.
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Social Listening
Visual Prompting Livestream With Andrew Ng
Try out Visual Prompting today at https://landing.ai And join the conversation in the Landing AI community at community.landing.ai/c/visual-prompting/ [About Visual Prompting Livestream] The traditional AI modeling workflow requires multiple steps: (i) finding and labeling data, (ii) training a model, and then (iii) making predictions. In contrast, text interfaces like ChatGPT have a dramatically simpler process where a user can give a text prompt saying what they want, and get an answer quickly. This has revolutionized NLP (natural language processing). Traditional AI: Label→ Train → Predict (taking days/months) Prompting based AI: Prompt → Predict (taking minutes/seconds) In this livestream presentation, Andrew Ng will share some early thoughts – and present Landing AI’s results – on generalizing this concept from text to computer vision, so that users can input a simple Visual Prompt (that indicates a few things on an image) and quickly get a result. Meta’s SAM model is one example of Visual Prompting, applied to image segmentation of individual images. In the next few years, Andrew expects that Visual Prompting tools will make computer vision much more accessible, just as text prompting has for NLP. Join Andrew to discuss: * Lessons from NLP (transformers and large language models) for computer vision (vision transformers, foundation vision models) * Visual Prompting as a fast, easy and natural way to have a vision-based interaction * Live demo * Implications of prompting on machine learning project lifecycle * Live Q&A
Machine Learning Specialization by DeepLearning.AI
Enroll in the Machine Learning Specialization 👉 https://bit.ly/3ZRBXpq This 3-course specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. It's a beginner-friendly program that will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. Taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. The specialization provides a broad introduction to modern machine learning, including: Supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees) Unsupervised learning (clustering, dimensionality reduction, recommender systems) Best practices for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) Learn more: https://bit.ly/3ZRBXpq DeepLearning.AI is an education technology company that is empowering the global workforce to build an AI-powered future through world-class education, hands-on training, and a collaborative community.
Pioneering The Data-Centric AI Movement
Tune into this "Data Cloud Now" conversation between host Ryan Green, Andrew Ng, Founder and CEO of Landing AI, and Dan Maloney, COO of Landing AI, to learn how Landing AI is pioneering the Data-Centric AI movement, which enables companies with limited data sets to realize the business value of AI and move AI projects from proof-of-concept to full-scale production. For more information about Landing AI: →Website: https://landing.ai →LinkedIn: https://www.linkedin.com/company/landing-ai →Twitter: https://twitter.com/LandingAI To connect with Andrew Ng of Landing AI: →LinkedIn: https://www.linkedin.com/in/andrewyng To connect with Dan Maloney of Landing AI: →LinkedIn: https://www.linkedin.com/in/danielwilliammaloney Join the Data Cloud Now Community: https://bit.ly/3GdXtgD Learn more about Data Cloud Now: Website: https://www.TheDataCloudNow.com Podcast: https://bit.ly/3sFXst6
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