Firebase’s Post

#VisualAI Model Evaluation Made Easy! ⚡ The updated Model table displays each model's performance across various image sets so you can assess model accuracy and effectiveness. Test out your dataset today for free at app.landing.ai #VisualAI #MachineLearning #ModelEvaluation #DataScience

Model comparison is one of the MLOps tasks that requires very systematic steps. For example, other than just looking at the simple metric, how do I know the model I trained today is better than yesterday? #landinglens provides a systematic MLOps toolset to enable this. Check it out at: https://app.landing.ai

Looking to understand how AI is helping brands to improve the customer experience and map the customer journey? 🤖 Head to the Foodservice stage at 1.30pm to see first hand how we're doing just this! See you there #NRF2025

How to create a Treemap with Plotly. First video from a series of AI Agent apps. In this video we will focus on creating the Plotly Dash app that combines the treemap with the range slider and the radio buttons.

Hello everyone from few days I was working on an emotion detector app that can detect facial expression and predict whether the person is happy or not. I am happy to share with you, its demo. Either user can use picture from gallery and check the result or they can directly take picture and check the result and there is also a live feature where user can detect emotion in real-time. The app is built using Flutter and uses Google Machine Learning kit to predict the result. #Flutter #EmotionDetector #GoogleMLKit

To all Bullhorn ATS users! Synaptico now integrates with with Bullhorn ATS, allowing you to automate the notes and leads back from Synaptico into the candidate fields in your ATS. DM me for more details or go app.synaptico.io to set up your free trial!

Flow AI's #VisualProgramming allows users to 👀 visually assemble app components, define logic, and 🗺️ map out the flow of interactions through a drag-and-drop interface. Link in the comments.

New #GenerativeAI Feature for Personalized Player Stories at #Wimbledon "The new 'Catch Me Up' feature displays pre and post-match player cards with AI-generated player stories and analysis via wimbledon.com and the Wimbledon 2024 App. Player cards will be personalized based on user preferences and data such as their location and myWimbledon profile, starting with their favorite players. " Read more -> https://lnkd.in/gBuDQu9r #ibm #AI

Welcome to our AI on Android Spotlight Week! Here are three things we’ll be talking about:

A step-by-step guide for individuals looking to deploy their own AI app, accessible anywhere via a simple CURL command. You will learn about the BentoML framework, creating a question-answering AI app locally, and deploying the Phi 3 mini model on the BentoCloud.