Artificial Intelligence

2023-06-23 13:22:01 Building an AI applications will be one of the most crucial skills for the next 20 years.

If I were starting today, I'd learn these:

• Python
• OpenAI API
• Langchain Open / Comment

2023-06-04 19:48:55 Google has created Generative AI learning path with 9 FREE courses!

Topics covered:
- Intro to LLMs
- Attention Mechanism
- Image Generation/Captioning
- Intro to Responsible AI

From the fundamentals of LLMs to creating & deploying generative AI solutions!

Introduction to Generative AI:

An introductory level micro-learning course aimed at explaining:

- What Generative AI is
- How it is used
- How it differs from traditional ML

Check this out
https://www.cloudskillsboost.google/course_templates/536

Introduction to Large Language Models:

The course explores:

- Fundamentals LLMs
- Their use cases
- Prompt engineering on LLMs

Check this out
https://www.cloudskillsboost.google/course_templates/539

Introduction to Responsible AI:

The course explains what responsible AI is, why it's important, and how Google implements responsible AI in their products.

Check this out
https://www.cloudskillsboost.google/course_templates/554

Introduction to Image Generation:

This course introduces diffusion models, a family of ML models that recently showed promise in the image generation space.

Check this out
https://www.cloudskillsboost.google/course_templates/541

Encoder-Decoder Architecture:

This course gives you a synopsis of the encoder-decoder architecture.

It's a powerful and prevalent machine learning architecture for sequence-to-sequence tasks.

Check this out
https://www.cloudskillsboost.google/course_templates/543

Attention Mechanism:

The course teaches you how attention works & how it revolutionised:

- machine translation
- text summarisation
- question answering

Check this out
https://www.cloudskillsboost.google/course_templates/537

Transformer Models and BERT Model:

This course introduces you to some of the most famous and effective transformer architectures!

Check this out
https://www.cloudskillsboost.google/course_templates/538

Create Image Captioning Models:

This course teaches you how to create an image captioning model by using deep learning.

Check this out
https://www.cloudskillsboost.google/course_templates/542

Introduction to Generative AI Studio:

This course introduces Generative AI Studio, a product on Vertex AI.

It teaches you to prototype and customize generative AI models so you can use their capabilities in your applications.

Check this out
https://www.cloudskillsboost.google/course_templates/552

Bonus:
https://cloud.google.com/blog/topics/training-certifications/new-google-cloud-generative-ai-training-resources Open / Comment

2023-05-31 07:21:40 Industry Data Science vs Academia Data Science

Comparing Data Science in academia and Data Science in industry is like comparing tennis with table tennis: they sound similar but in the end, they are completely different!

5 big differences between Data Science in academia and in industry :

Model vs Data: Academia focuses on models, industry focuses on data. In academia, it’s all about trying to find the best model architecture to optimise a defined metric. In industry, loading and processing the data accounts for around 80% of the job.

Novelty vs Efficiency: The end goal of academia is often to publish a paper and to do so, you will need to find and implement a novel approach. Industry is all about efficiency: reusing existing models as much as possible and applying them to your use case.

Complex vs Simple: More often than not, academia requires complex solutions. I know that this isn’t always the case but unfortunately, complex papers get a higher chance of being accepted at top conferences. In industry, it’s all about simplicity: trying to find the simplest solution that solves a specific problem.

Theory vs Engineering: To succeed in academia, you need to have strong theoretical and maths skills. To succeed in industry, you need to develop strong engineering skills. It is great to be able to train a model in a notebook but if you cannot deploy your model in production, it will be completely useless.

Knowledge impact vs $ impact: In academia, it’s all about creating new work and expanding human knowledge. In industry, it is all about using data to drive value and increase revenue. (credits: unknown)

Anything else missing? Let me know Open / Comment

2023-05-30 05:48:31 Use Chatgpt to prepare a PowerPoint Presentation

Prompt:
“I want you to write me VBA code for a PowerPoint presentation about the history of AI. You are to fill in all the text with your own knowledge, no placeholders. I need 5 slides.” Open / Comment

2023-05-23 21:44:27 Adobe introduces Generative AI fill in Photoshop!

It's a beta app right now to unleash your imagination as you can generate extraordinary images from a simple text prompt.

The only limit is our imagination in creating fabulous images with these flooding AI apps. Open / Comment

2023-05-19 12:35:53 Photoshop is finished?

Imagine being able to perfect any picture exactly how you want it.

Now it's as simple as drag and drop with this AI:

Researchers from Max Planck Institute for Informatics, MIT and Google have developed DragGAN.

It lets you 'drag' any part of a picture to exactly where you want it.

DragGAN has 2 main parts:
• Motion supervision — this guides the point you're moving towards the target position
• Point tracking — this uses special features to keep an eye on the point you're moving

This means it can make really realistic changes, even for difficult tasks like creating hidden parts of images or changing shapes while keeping them looking natural.

Where Photoshop often requires intricate skill and knowledge, DragGAN makes complex edits as simple as drag and drop.

While DragGAN excels at precise image deformation, I still feel Photoshop's comprehensive tools for graphic design hold value.

Code: https://github.com/XingangPan/DragGAN
Paper: https://huggingface.co/papers/2305.10973 Open / Comment

2022-08-31 16:15:00 There has never been a better or more exciting time to work in AI and deep learning... Open / Comment

2022-08-31 10:26:01 https://www-deccanherald-com.cdn.ampproject.org/c/s/www.deccanherald.com/amp/national/indian-armed-forces-aiming-to-go-big-with-artificial-intelligence-1125123.html Open / Comment

2022-08-28 17:42:06 Want to get into Data Science?

Internet is free university.

Here are the free resources to learn

Coding: https://bit.ly/3dJXEou
SQL: https://bit.ly/3K6Y9Fn
Data Analysis: https://bit.ly/3QRJsIA
Machine Learning: https://bit.ly/3R1who6
Deep Learning: https://bit.ly/3KdxNkX
Visualisation: https://bit.ly/3R0eaiq
GitHub: https://bit.ly/3Qy5lN7
AWS: https://go.aws/3KbVfyV

You don't lack resources.

You just need a laptop and internet connection.

No more excuse. Open / Comment

2022-08-07 18:04:11 Image segmentation is the process of partitioning a digital image into multiple segments.

Learn how it works and get started here >>> https://www.tensorflow.org/lite/examples/segmentation/overview?linkId=8139418 Open / Comment