Welcome to the forefront of technological evolution at the Large Language Models for Artificial Intelligence course. This cutting-edge program is designed to catapult your skills in generative AI, focusing on the power and versatility of Large Language Models (LLMs). Over the span of an accelerated three-day learning lab, we will guide you through the intricate world of LLMs, from foundational theories to advanced applications in a variety of industries including technology, healthcare, finance, and more. Our hands-on curriculum is crafted to not only deepen your understanding of LLMs but also to apply these concepts in creating innovative AI solutions for complex challenges.
Welcome to the forefront of technological evolution at the Large Language Models for Artificial Intelligence course. This cutting-edge program is designed to catapult your skills in generative AI, focusing on the power and versatility of Large Language Models (LLMs). Over the span of an accelerated three-day learning lab, we will guide you through the intricate world of LLMs, from foundational theories to advanced applications in a variety of industries including technology, healthcare, finance, and more. Our hands-on curriculum is crafted to not only deepen your understanding of LLMs but also to apply these concepts in creating innovative AI solutions for complex challenges.
Program Experience
Throughout this immersive course, participants will actively engage with the core functionalities of Large Language Models (LLMs), including natural language understanding, text generation, sentiment analysis, and language translation. You will not only learn how to train, fine-tune, and deploy LLMs effectively through coding but also explore the use of intuitive low-code platforms for machine learning, ensuring a comprehensive understanding of both technical and accessible AI development approaches.
Our program is deeply committed to hands-on learning, blending direct coding exercises with the exploration of low-code tools to interact with some of the most advanced LLMs available today. Through practical exercises, case studies, and projects that mirror real-world challenges, you will acquire firsthand experience in leveraging LLMs for diverse applications, fully equipping you with the skills needed for your professional growth.
By bridging the gap between theoretical knowledge and practical, applicable skills, this program ensures you depart ready to implement LLMs in your work environment.
Benefits
Upon successful completion of this course, you will be able to:
Describe how NLP is used to solve business problems
Write functional code using Scikit-Learn, Keras, NLTK, TextBlob, and Pandas to solve business related queries and process data
Describe the concept of Tokenization and Vectorization
Develop word embeddings using several different approaches
Classify text using several different approaches (e.g., sentiment analysis, intent)
Extract transformers from HuggingFace portals and use them for business applications
Communicate with Large Language Models (LLM) using prompt engineering
Topics
Natural Language Processing: Applications Tools for NLP:
Google’s Colab: Python
Deep Learning Application: Word Embeddings
Word2Vec
Language Models: Transformers:
Positional Encoding
Self-Attention
GPT 1/2/3
BERT
Large Language Models (LLM)
HuggingFace portal for accessing Transformers
Prompt Engineering
ChatGPT
Applications of LLM
Content Generation
Customer Service - Chat Boxes for providing information.
Who Should Attend
This short course is designed for professionals who are eager to expand their expertise into the realm of generative AI and Large Language Models. It is particularly beneficial for individuals with a background in computer science, data science, software engineering, and related technical fields. Ideal candidates will have a foundational understanding of machine learning concepts, proficiency in programming languages such as Python, and a passion for innovative AI technologies.
The Machine Learning for Advanced Analytics course or similar introductory courses in Python and machine learning are prerequisites for this program.
