GPT Specialization

(SR-GPT.AA1)
Lab
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Skills You’ll Get

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1

Python Programming and GPT

  • Building an Interactive GPT Dashboard
  • Building Data Pipelines for GPT
  • Performing Complex Data Processing
2

Basic Network-Based Language Prediction GPT Models

  • Implementing a Basic Transformer Model
  • Building Attention Layers
  • Implementing a Sequence Model
3

Network-Based Language Prediction GPT Model Evaluation

  • Performing a Real-World Model Assessment
  • Performing a Comprehensive Model Evaluation
  • Training a Custom Tokenizer
4

Introduction to GPT and Transformers

  • Deploying a Pre-Trained GPT Model
  • Visualizing Training Dynamics
  • Analyzing the GPT Model Architecture
5

Working with Hugging Face Transformers Library

  • Building an End-to-End NLP Application
  • Running Inference with a Pre-Trained Summarization Model
  • Performing Complex NLP Tasks
6

Fine-tuning GPT Models

  • Implementing Efficient Fine-Tuning
  • Preparing a Custom Dataset for Fine-Tuning
  • Implementing Advanced Fine-Tuning
7

Advanced NLP Techniques with GPT

  • Implementing a LangChain Framework
  • Building a Complex NLP System
  • Implementing Advanced Generation Techniques Using GPT
8

Ethical Considerations and Bias in AI with GPT

  • Implementing Responsible AI Development
  • Performing Bias Detection
  • Performing Ethics Analysis
9

Advanced Applications of GPT

  • Deploying and Scaling a GPT Model
  • Designing a GPT-Based Solution
  • Implementing GPT in Industry Use Cases