Generative AI NLP Specialization | Level 2

Building Intelligent Conversational Solutions with Large Language Models

Duration

3 Days

Level

Intermediate Level

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Welcome to the “Generative AI NLP Specialization | Level 2” course, where we embark on a journey to explore the core principles and practical applications of these transformative AI models. This course will immerse you in the intricacies of LLMs, from understanding their architecture to evaluating their performance. Whether you’re a seasoned AI practitioner or a newcomer, this course equips you with the essential knowledge to navigate the dynamic landscape of modern language understanding and generation.

By the end of this course, you will have gained a comprehensive understanding of Large Language Models (LLMs) and their evaluation methods.

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Large Language Models (LLMs) Fundamentals

Understanding Language Models
- What are Language Models?
- Importance of language understanding in AI.
- Examples
Use cases and tasks of LLMs
LLM Example Architecture
Pretraining Large Language Models
Data collection, tokenization, masked language modeling
Transfer Learning and Fine-Tuning
Adapting pretrained models to specific tasks
Case Study: LLM Industry Use Case

Evaluating LLMs

Evaluating LLMs Significance and impact of Evaluation on natural language understanding and generation tasks
Various Evaluation Metrics used to assess the quality and performance of LLMs
Human Evaluation in assessing LLMs
Intrinsic & Extrinsic Evaluation
Dataset Quality and Bias
Interpretability and Explainability
Robustness and Generalization
Fairness and Bias Evaluation

Fine Tuning Basics

Background and concept
Curse of dimensionality
Graphical models (Bayesian networks)
Comparison of generative and discriminative models

Hands On Lab

Lab: Fine Tuning a LLMs for specific tasks

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Generative AI NLP Specialization | Level 2

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