Natural Language Generation (NLG)
Unlock the Power of AI for Human-Like Text Generation with Advanced NLG Techniques
Early access to e-LMS included
About This Course
This program offers a comprehensive exploration of NLG techniques, teaching participants how AI can automatically generate coherent and contextually accurate human language. The program covers language models, neural architectures, ethical considerations, and hands-on projects focused on implementing NLG in real-world applications like automated writing, chatbots, and content creation.
Aim
To provide researchers, AI professionals, and PhD scholars with a deep understanding of Natural Language Generation (NLG), focusing on its architectures, applications, and challenges. This course will cover the theoretical foundations and practical aspects of generating human-like text using AI, from basic models to advanced systems like GPT and BERT.
Program Objectives
- Master the fundamentals of NLG and its various architectures.
- Build and train models for text generation using state-of-the-art techniques.
- Understand the ethical challenges and biases in NLG.
- Gain hands-on experience with transformer-based models for NLG tasks.
- Explore real-world applications of NLG in content automation and communication.
Program Structure
- Introduction to Natural Language Generation
- Overview of NLG
- Applications and Trends in NLG (e.g., Chatbots, Content Generation)
- Key Challenges in NLG
- Fundamentals of Natural Language Processing (NLP)
- Tokenization, Lemmatization, and Stemming
- Word Embeddings (Word2Vec, GloVe)
- Sequence Modeling in NLP (Bag of Words, TF-IDF)
- Recurrent Neural Networks (RNNs) for NLG
- RNNs and Sequence-to-Sequence Models
- LSTMs and GRUs for Text Generation
- Encoder-Decoder Architectures
- Transformers for Language Modeling
- Attention Mechanism and Self-Attention
- Introduction to Transformers
- BERT, GPT, and Their Role in NLG
- Advanced Language Models
- GPT-2, GPT-3, and GPT-4 Architectures
- Pretraining and Fine-tuning Techniques
- Comparison of Pretrained Language Models (e.g., T5, BART)
- Conditional NLG
- Text Generation with Conditional Inputs (e.g., Text Summarization, Translation)
- Seq2Seq with Attention
- Applications in Machine Translation (MT) and Summarization
- Controlling Text Generation
- Controlling Style and Tone in NLG
- Beam Search, Greedy Search, and Sampling Methods
- Top-k and Top-p Sampling
- Evaluating NLG Models
- Evaluation Metrics for NLG (BLEU, ROUGE, METEOR)
- Human Evaluation vs. Automated Evaluation
- Challenges in Evaluating Generated Text
- Ethics in NLG
- Bias and Fairness in Language Models
- Ethical Considerations in Text Generation
- Misinformation and Abuse of NLG Systems
- Fine-Tuning and Deploying NLG Models
- Fine-Tuning Large Language Models for Specific Domains
- Model Deployment in Real-World Applications
- Scaling and Optimizing NLG Models
- Case Studies in NLG
- Hands-on Applications (Chatbots, Automated Report Writing)
- Industry Use Cases (Marketing, Healthcare, Journalism)
- Final Project
- Build and deploy an NLG model for a specific task (e.g., text summarization, chatbot, or creative writing generator)
Who Should Enrol?
AI researchers, machine learning engineers, natural language processing (NLP) experts, and academicians focusing on AI and language models.
Program Outcomes
- Mastery of NLG techniques using transformer models like GPT and BERT.
- Hands-on experience building and fine-tuning NLG systems for real-world tasks.
- Understanding of the ethical challenges and considerations in AI-generated text.
- Ability to implement NLG for applications like chatbots, automated journalism, and content generation.
Fee Structure
Discounted: ₹8,499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Publication Opportunity
Get published in a prestigious open-access journal.
Centre of Excellence
Become part of an elite research community.
Networking & Learning
Connect with global researchers and mentors.
Global Recognition
Worth ₹20,000 / $1,000 in academic value.
View All Feedbacks →