The Good, the Bad and the Ugly
Sub Category
- Data Science
{inAds}
Objectives
- Generative AI definition, areas of applications, mappings like txt2txt, img2txt, txt2img and txt2voice
- How ChatGPT works, and the underlying tech behind like GPT, Large-Scale Language Models (LLM) and Transformers
- How Latent Diffusion, StableDiffusion and DALL-E systems work
- Generative Adversarial Networks (GANs) and Variational Auto Encoder (VAE)
- The good, bad and ugly faces of GenAI, and how to adapt to the new tech
- Build ChatGPT clone using OpenAI API and Streamlit
- Build NLP applications using OpenAI API like Summarization, Text Classification and fine tuning GPT models
- Build NLP applications using Huggingface transformers library like Language Models, Summarization, Translation, QA systems and others
- Build Midjourney clone application using OpenAI DALL-E and StableDiffusion on Huggingface
Pre Requisites
- AI, ML and Deep Learning foundations
- NLP: RNN, LSTM, Transformers basics
- CV: ConvNets
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
{inAds}
Coupon Code(s)