Generative AI: The Superpower !!

Why You Should Learn About Generative AI in 2024??

- By Tasrif Nur Himel

Step into 2024, where Generative Artificial Intelligence (AI) unveils a world of endless possibilities. Whether you’re tech-savvy or just curious, delving into generative AI is not just a choice; it’s a strategic advantage. Here’s why you should dive into this cutting-edge field:

• Evolution of Generative AI

Generative AI has grown leaps and bounds, empowering machines to autonomously create content — images, videos, music, poetry. Mastering generative AI arms you with a potent toolset for innovation and creation.

• Versatile Applications

Generative AI transcends boundaries, impacting diverse sectors. Picture tailoring personalized marketing, optimizing supply chains, or revolutionizing drug discovery — all driven by generative models. Understanding its applications positions you as a versatile problem solver.

• Ethical Considerations

Navigating generative AI’s challenges involves exploring ethical nuances. By understanding ethical frameworks, you ensure that generative AI contributes positively to society without causing harm.

• The Art of Training Models

Delve into neural networks, GANs, and fine-tune parameters. Mastering model architectures, loss functions, and hyperparameters empowers you to create your own generative magic.

• Collaboration with Creatives

Generative AI bridges technology and art. Collaborate with designers, musicians, and writers to co-create AI-generated symphonies or interactive visual installations. The fusion of creativity and code awaits your participation.

• The Future of Work

Generative AI professionals are in demand. Enhance your employability as an entrepreneur, researcher, or developer by staying ahead of the curve. Shape the future of work with generative AI skills.

• Exploring Generative AI Platforms

Hands-on experience matters. Dive into platforms like OpenAI’s GPT, NVIDIA’s StyleGAN, or Google’s Magenta. Experiment, iterate, and create. From chatbots to art and music, true mastery lies in the journey from theory to practice.

Roadmap To Learn Generative AI In 2024

1. Python Programming Language

2. Machine Learning & NLP concept

• Why NLP?
• One hot Encoding, Bag Of Words,
• TFIDF
• Word2vec,AvgWord2vec

3. Deep Learning Concepts

• ANN, FNN, CNN— Working Of MultiLayered Neural Network
• Forward Propogation, Backward Propogation
• Activation Functions, Loss Functions
• Optimizers

4. Advanced NLP Concepts

• RNN, LSTM RNN
• GRU RNN
• Bidirection LSTM RNN
• Encoder Decoder, Attention is all you need ,Seq to Seq
• Transformers

5. Starting the Journey Towards Generative AI (GPT4,Mistral 7B, LLAMA, Hugging Face Open Source LLM Models,Google Palm Model)

• Langchain
• OpenAI
• Chainlit
• Google Gemini

6. Vector Databases And Vector Stores

• ChromaDB
• FAISS vector database, which makes use of the Facebook AI Similarity Search (FAISS) library
• LanceDB vector database based on the Lance data format
• Cassandra DB For storing Vectors

7. Deployment Of LLM Projects

• AWS
• Azure
• LangSmith
• LangServe
• HuggingFace Spaces

In Conclusion: Generative AI isn’t just about algorithms; it’s about imagination, ethics, and impact. Let curiosity be your guide. Learn, experiment, and contribute. In 2024 and beyond, generative AI awaits those who dare to dream and code.

Remember: The future belongs to those who understand the art of creation — powered by generative intelligence.