- DC Wattmeter Using Arduino Nano (0-16V/0-20A)Posted 3 hours ago
- Making Your Own Photovoltaic 5V SystemPosted 2 days ago
- Sezme: a Memory Game for the ArduinoPosted 6 days ago
- Virtual arduino experimentPosted 1 week ago
- Tilt to TellPosted 1 week ago
- Nextion 3.5″ TFT LCD Digital Compass for ArduinoPosted 1 week ago
- An Autonomous RoverPosted 2 weeks ago
- Smart Air Cooler with ESP8266Posted 2 weeks ago
- Nano33BLESensor: Getting Started with the Nano 33 BLE SensePosted 2 weeks ago
- Interfacing Ultrasonic Ranging Module HC-SR04 With ArduinoPosted 2 weeks ago
What’s Next in Conversational AI
Nvidia’s GPU-powered platform for developing and running conversational AI that understands and responds to natural language requests has achieved some key milestones and broken some records that have big implications for anyone building on their tech – which includes companies large and small, since much of the code they’ve used to achieve these advancements is open source, written in PyTorch and easy to run.
The biggest achievements Nvidia announced today include its breaking the hour mark in training BERT, one of the world’s most advanced AI language models and a state-of-the-art model widely considered a good standard for natural language processing. Nvidia’s AI platform was able to train the model in under an hour, a record-breaking achievement at just 53 minutes, and the trained model could then successfully infer (ie, actually applying the learned capability achieved through training to achieve results) in under 2 milliseconds (10 milliseconds is considered a high-water mark in the industry), another record.