Getting Started With LLMs
This course will help you gain a comprehensive understanding of Large Language Models (LLMs) and develop advanced natural language processing (NLP) applications using the PyTorch framework. With a carefully curated list of resources and exercises, this course is your guide to becoming an expert in LLMs. Master the techniques to build and fine-tune LLMs, and generate human-like text.
Who Should Enroll: Professionals: Individuals looking to expand their skill set and leverage LLMs across different industries. Aspiring Students: For those setting out on their journey to master language data analysis and leave a mark in the tech world.
Course curriculum
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1
Introduction
- Course Objective
- Course Handouts
- The Exponential Growth
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2
The Evolution of NLP
- The Evolution of NLP: Symbolic NLP
- The Evolution of NLP: Statistical NLP
- The Evolution of NLP: Deep Learning
- The Evolution of NLP: Deep Learning Era II
- The Evolution of NLP: Tranformers and Evolution
- Quiz
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3
What are Large Language Models?
- Introduction to Large Language Model
- What is a Large Language Model?
- Understanding Foundational Models
- Different types of LLMs: Based on Response
- Different types of LLMs: Based on Model Architecture
- Quiz
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4
The Current State of the Art in LLMs
- The Current State of the Art in LLMs
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5
Generative AI - Glossary
- Generative AI- Glossary
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6
Your Feedback Matters!
- Your Feedback Matters!
Certificate of Completion
Instructor
Kunal Jain, Founder & CEO, Analytics Vidhya
Key Takeaways from the course
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Learn Large Language Model techniques and build real-world NLP applications.
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Hands-On Experience: Engage with exercises designed to reinforce your learning and apply concepts in real-world scenarios.