Search
Close this search box.
Search
Close this search box.

Generative AI NLP Specialization | Level 2

Building Intelligent Conversational Solutions with Large Language Models

Duration

3 Days

Level

Intermediate Level

Design and Tailor this course

As per your team needs

Edit Content

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.

 

Edit Content
  • Developers and software engineers interested in learning GenerativeAI
  • AI enthusiasts and professionals aiming to build intelligent and innovative solutions
  • Even Data scientists and machine learning practitioners seeking to enhance their skills in working with GenAI models
Edit Content
  • 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 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
  • Background and concept
  • Curse of dimensionality
  • Graphical models (Bayesian networks)
  • Comparison of generative and discriminative models

Lab: Fine Tuning a LLMs for specific tasks

Edit Content

Participants should have attended Generative AI NLP Specialisation | Level 1 course or have an equivalent knowledge

Connect

we'd love to have your feedback on your experience so far