New AI Tools – Which One Should You Use

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We get a lot of questions regarding, “What are some great Ai tools on the market?” To us, “great” is a relative term – what do you need the AI tools for?

Below we have listed a few different tools depending on what you need.

TensorFlow:

TensorFlow is an open-source machine learning framework developed by Google. It provides a wide range of tools for building and training machine learning models, including neural networks, and supports a variety of programming languages.

PyTorch:

PyTorch is an open-source machine learning framework developed by Facebook’s AI Research lab. It is known for its dynamic computation graph and provides a flexible platform for building and training machine learning models.

Scikit-learn:

Scikit-learn is a popular open-source machine learning library for Python. It provides a wide range of tools for classification, regression, clustering, and dimensionality reduction, along with model evaluation and selection.

IBM Watson Studio:

IBM Watson Studio is a comprehensive AI and machine learning platform that provides tools for data preparation, model building, and model deployment. It includes a collaborative environment for data scientists and supports various programming languages.

Microsoft Azure Machine Learning:

Microsoft Azure Machine Learning is a cloud-based machine learning platform that provides tools for building, training, and deploying machine learning models. It integrates with other Microsoft Azure services and supports a wide range of programming languages.

Google Cloud AI Platform:

Google Cloud AI Platform is a cloud-based machine learning platform that offers a wide range of tools for building, training, and deploying machine learning models. It includes features such as automated machine learning, model serving, and model monitoring.

H2O.ai:

H2O.ai is an open-source machine learning platform that provides tools for building and training machine learning models, including deep learning. It offers a user-friendly interface and supports multiple programming languages.

DataRobot:

DataRobot is an automated machine learning platform that uses AI to build, deploy, and manage machine learning models. It includes features such as automated feature engineering, model selection, and model deployment.

Databricks:

Databricks is a cloud-based platform for big data analytics and machine learning. It provides tools for data preparation, model building, and model deployment, and integrates with popular machine learning libraries such as TensorFlow and PyTorch.

Agent GPT:

Give this agent any task and it’ll autonomously: plan strategies, browse the web and execute the mission for you. Sit back and be amazed.

TripNotes:

This is next level next generation travel planning. Stop going through reviews after reviews after blogs and simply tell the AI what you want and it will do the rest for you.

Gamma:

Gamm AI = ChatGPT meets presentations. Type in a prompt and Gamma can create: presentations, slide decks, websites.

Prompt Storm:

Getting writers block wen writing prompts? Fear no longer. Prompt storm is a chrome extension that helps you create highly relevant and useful prompts for your specific goals.

Rose:

Rose is a powerful tool for finding and visualizing data. Instead of searching through countless links to find obscure charts type in what you are looking for and rose will create the most gorgeous infographic for you.

Perplexity:

Google + ChatGPT = Perplexity.

Perplexity gives you brilliant, more refined answers to prompts with cited sources. The user interface is so pretty and it is a joy to use the platform.

Please note that the AI landscape is constantly evolving, and there may be other AI tools that have been developed or updated since my knowledge cutoff date. It’s always recommended to do further research and evaluate different tools based on your specific needs and requirements.