AI and ML Powered Solutions
Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. JS Tigers can help you implement Machine Learning for your applications using OpenAI ChatGPT API and TensorFlow.js.
TensorFlow.js has become one of the most popular Machine Learning JavaScript projects due to its comprehensive linear algebra core and deep learning layers. It is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models. TenserFlow.js can be used to
- Develop ML in the Browser: Use flexible and intuitive APIs to build models from scratch using the low-level JavaScript linear algebra library or the high-level layers API.
- Develop ML in Node.js environment: Execute native TensorFlow with the same TensorFlow.js API under the Node.js runtime.
- Run Existing models: Use TensorFlow.js model converters to run pre-existing TensorFlow models right in the browser.
- Retrain Existing models: Retrain pre-existing ML models using sensor data connected to the browser or other client-side data.
Previous Projects
eCommerce Product Tagging using OpenAI API
Gifty is a tool for searching gifts for children. We utilised OpenAI's text-davinci-003 model to automatically extract the brand, character, and category from the titles of more than four thousand products. It has automated the extraction procedure, which was previously time consuming when done manually.
Website Chatbot using ChatGPT
We created a chatbot for an Australian credit provider company's website that is trained on the OpenAI text-davinci-003 model. We used website data such as services, blogs, about the company, and others to train the bot, which then used this data to answer website visitors' questions.