This repository offers Generative AI resources including blogs, tutorials, and projects designed to help you master generative AI and create industry-level projects. You will learn everything starting from basic gen AI concepts to advanced concepts like GANs, Autoregressive models, fine-tuning, and training models. Whether you're just starting out or looking to be an industry player, check out our content list to explore more!
You’ll gain access to technical articles that cover a wide range of generative AI concepts from basic to advanced GenAI concepts covering GANs, Autoregressive models, fine-tuning, and training models. You can also access step-by-step tutorials to build and fine-tune an LLM, build a langchain streamlit chatbot for EDA, and a lot more. Explore the blog list and tutorial list today!
| Topics Covered | Description |
|---|---|
| Fundamentals of Generative AI | Explore the foundational concepts of deep learning and neural networks, focusing on key components. |
| Generative Adversarial Networks (GANs) | Overview of GAN Architecture, Key Concepts, Implementation. |
| Autoregressive Models | Overview of autoregressive models, Implementation, transformer models. |
| Getting Started with LLMs | A handbook on setting up LLMs, fine-tuning techniques and deployment strategies. |
| Evaluation and Fine-Tuning | Hands-on practice on fine-tuning pre-trained generative models for specific tasks and use cases. |
| Applications of Generative AI | Overview of text generation, Image generation. |
Explore the foundation of Generative AI, its real-world applications, and its potential across industries.
- 📝 Use Cases and Applications
- 📝 Agentic AI vs Generative AI
- 🎙️ Generative AI Ecosystem
- 🎙️ Predictive AI vs Generative AI
- 🎙️ Transformative Power of Generative AI Solutions
- 🎙️ Generative AI for Sales
- 🎙️ Generative AI in Oil and Gas
- 🎙️ Enterprise Adoption of Generative AI
- 📝 Generative AI in Retail
- 📝 Generative AI for Finance
- 🎙️ Generative AI in Insurance
- 🎙️ Energy and Utilities
Gain hands-on understanding of the algorithms driving Generative AI.
Explore the secrets behind LLMs, their architecture, and their practical applications.
- 📝 Introduction to Large Language Models
- 📝 Chain of Thought Prompting
- 📝 LLM Parameters
- 📝 Limitations of LLMs
Take your AI models to the next level with these resources.
Discover how Generative AI is transforming industries and powering innovative applications.
- 🎙️ Generative AI Application Landscape
- 🎙️ LLMs for Code Generation
- 📝 Generative AI Projects
- 📝 LangChain
- 📝 Using the Llama2 Model
- 📝 How to Build Generative AI Applications
- 📝 How to Get Started with Microsoft Phi-4 Multimodal Model?
- 📝 How to USe Ollama to run LLMs locally?
Prepare yourself for the Generative AI job market with these resources.
- 📝 Generative AI Certifications
- 📝 AWS Generative AI Certification
- 📝 Generative AI Interview Questions
Hands-on learning is the best way to master Generative AI! Start with these beginner-to-advanced projects.
- Streamlit LangChain Chatbot
- Build and Fine-Tune an LLM
- Time Series Autoregressive Model
- Customer Support Agent Using AzureML and OpenAI
- Text-to-SQL LLM
- AI Resume Analyzer
- AI Video Summarization
- LLM Project for Beginners
- LLaMA2 Project for Metadata Generation
- Anomaly Detection with Deep Autoencoders
- End-to-End Microsoft Fabric Project
- Generative Models Using PyTorch Autoencoders
- LangChain Project for Customer Support App
- GAN Model on MNIST Dataset
- CycleGAN Implementation for Image-to-Image Translation
Get started with these amazing freebies!
To learn more about Generative AI Projects, visit our website! And don’t forget to check out ProjectPro Generative AI Learning Path.✅
Have questions or suggestions, or you just want to check out our projects? Reach out to us:
👉 Email: care@projectpro.io
👉 Check out our Website: https://www.projectpro.io/
See you inside! 👋