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Duration 21 hours
Course Outline
Introduction to Large Language Models
- Foundational overview of Natural Language Processing (NLP).
- Introduction to the concepts and capabilities of Large Language Models (LLMs).
- Meta AI’s key contributions and advancements in LLM development.
Architecture of Meta AI LLMs
- In-depth analysis of Transformer architecture and self-attention mechanisms.
- Methodologies employed for training large-scale language models.
- Comparative analysis with other prominent LLMs such as GPT, BERT, and T5.
Development Environment Setup
- Installation and configuration of Python and Jupyter Notebook environments.
- Navigating and utilizing Hugging Face and Meta AI’s model repositories.
- Leveraging cloud-based or local GPU resources for model training.
Fine-Tuning and Customizing Meta AI LLMs
- Techniques for loading pre-trained model weights.
- Strategies for fine-tuning models on domain-specific datasets.
- Application of transfer learning techniques to enhance model performance.
Building NLP Applications with Meta AI LLMs
- Development of conversational AI systems and advanced chatbots.
- Implementation of automated text summarization and paraphrasing engines.
- Deployment of sentiment analysis and content moderation tools.
Optimization and Deployment of LLMs
- Performance tuning strategies to improve inference speed.
- Advanced model compression and quantization techniques for efficiency.
- Deploying LLMs via APIs and integration with cloud platforms.
Ethical AI and Responsible Usage
- Identifying and mitigating bias within Large Language Models.
- Ensuring transparency, fairness, and accountability in AI model design.
- Exploring future trends and emerging developments in the AI landscape.
Requirements
- A foundational grasp of machine learning and deep learning principles.
- Proficiency in Python programming.
- Knowledge of core Natural Language Processing (NLP) concepts.
Target Audience
- AI Researchers
- Data Scientists
- Machine Learning Engineers
- Software Developers with an interest in NLP technologies
