PPT ON FREE TOOLS OF AI

1. BY-ABHINEET 12D
AI TOOLS

2. AI tools?
• An AI tool is a software application that uses artificial
intelligence algorithms to perform specific tasks and solve
problems.
• AI tools can be used in a variety of industries, from
healthcare and finance to marketing and education, to
automate tasks, analyze data, and improve decision-
making.
• AI tools can be used to automate tasks, analyze data, and
make predictions based on patterns and trends, leading
to increased efficiency and accuracy.
• AI tools work by using machine learning algorithms to
analyze data and make decisions based on patterns and
trends in the data.

3. Tensor Flow
Tensor Flow is an open-source
machine learning framework
developed by Google.
Key features include a flexible
architecture, support for both
deep learning and traditional
ML, and a vibrant community.
Tensor Flow can be used for
tasks such as image
recognition, natural language
processing, and predictive
analytics.

4. Keras
Keras is a user-friendly, open-source
deep learning library.
It is built on top of Tensor Flow and
provides a high-level API for
constructing neural networks.
It supports both convolutional and
recurrent neural networks and can be
used for tasks like image recognition,
text generation, and more.

5. OpenAI GPT-3 is a cutting-edge
language model developed by
OpenAI.
It can generate human-like text and
perform various natural language
processing tasks.
GPT-3 can be accessed through an
API, enabling developers to integrate
its capabilities into their own
applications.
While not entirely free, GPT-3 offers a
generous free tier for experimentation
and development.
OpenAI GPT-3

6. IBM Watson Studio
IBM Watson Studio is a cloud-based
platform for AI and data science.
It provides a range of tools and
services for building, training, and
deploying AI models.
Watson Studio offers features like data
exploration, model development, and
collaboration.
While it has a free tier, some advanced
features may require a paid
subscription.

7. Scikit-learn
Scikit-learn is a popular Python library
for machine learning.
It offers a wide range of algorithms and
tools for tasks like classification,
regression, clustering, and
dimensionality reduction.
With Scikit-learn, you can quickly
prototype and deploy machine learning
models. It also provides tools for data
preprocessing and model evaluation.

8. Conclusion
• Free AI tools have revolutionized the accessibility of artificial
intelligence and machine learning. The tools we explored, such
as Tensor Flow, scikit-learn, Keras, OpenAI GPT-3, and IBM
Watson Studio, provide powerful capabilities to individuals and
organizations without requiring substantial financial
investments. Whether you're a student, researcher, or industry
professional, these tools can empower you to explore the
possibilities of AI.
Start leveraging these free tools today and unlock the
potential of AI!

9. References
• Tensor Flow: https://www.tensorflow.org/
• Keras: https://keras.io/
• OpenAI GPT-3: https://www.openai.com/
• IBM Watson Studio: https://www.ibm.com/cloud/watson-studio
• scikit-learn: https://scikit-learn.org/