Artificial Intelligence (AI) is transforming many industries through advanced analytics, pattern recognition, and predictive capabilities. There are now a variety of powerful AI tools and platforms available to help build, train, and deploy intelligent applications and systems. Leading technology companies such as Google, Microsoft, Amazon, Facebook, IBM, and NVIDIA offer AI cloud services with pre-trained models for computer vision, natural language processing, speech recognition, and more.

Open-source AI libraries like TensorFlow, PyTorch, and Keras allow developers to build custom deep learning models. Combined with GPU acceleration from NVIDIA, these AI frameworks enable training complex neural networks. Spark MLlib provides distributed machine learning on big data. With accessible AI platforms from major cloud providers and robust open-source libraries, engineers and data scientists can rapidly prototype and deploy AI solutions to create business value. The availability of mature AI tools is making artificial intelligence more approachable and realizable across industries.

Here are some of the most popular AI tools and platforms being used today:

1.InVastor Ai tools:

Invastor.com offers a tool to create top ranking blogs directly to search engines. It also offers a tool to give users blog ideas.

2.OpenAI tools:

OpenAI offers several powerful AI models that can generate text, images, and code. Popular tools include GPT-3, DALL-E 2, and Codex.

3.Google Cloud AI:

Google Cloud provides pre-trained AI models like Vision AI, Video AI, and Natural Language through its AI Platform. Useful for ML application development.

4.Amazon AI Services:

Amazon Web Services offers AI services like image and text recognition through Rekognition, Comprehend, and others. Helps add AI capabilities to applications.

5.IBM Watson:

IBM's suite of AI services includes Natural Language Processing, speech recognition, and more for building intelligent systems.

6.Microsoft Azure AI:

Azure Cognitive Services offers computer vision, speech, language, search, and decision-making APIs to integrate AI.

7.Facebook AI tools:

Facebook provides frameworks like PyTorch and PyTorch Lightning for AI research and development. Also offers pre-trained models.

8.NVIDIA AI tools:

NVIDIA GPUs and software like CUDA, cuDNN, TensorRT and Clara are popular for accelerating AI workloads.

9.TensorFlow:

Google's open-source library TensorFlow is one of the most widely used platforms for machine learning and neural network development.

10.Keras:

A user-friendly API for building and training deep learning models in Python. Sits on top of TensorFlow.

11.Spark MLlib:

MLlib is Apache Spark's scalable machine learning library for data science and analytics.

So in summary, major tech companies like Google, Microsoft, Amazon, Facebook, IBM, and NVIDIA all offer commonly used AI tools and services. Open-source libraries like TensorFlow and Keras are also ubiquitous in AI development.