Large Language Models Meta AI Training Course
Large Language Models (LLMs) developed by Meta AI are sophisticated deep learning systems capable of understanding and generating human-like text. These models are widely utilized for applications such as chatbots, text summarization, sentiment analysis, and content generation.
This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level AI researchers, data scientists, and developers who seek to understand, fine-tune, and implement Meta AI's Large Language Models for various natural language processing applications for government.
By the end of this training, participants will be able to:
- Comprehend the architecture and functioning of Meta AI's Large Language Models.
- Configure and fine-tune Meta AI LLMs for specific use cases.
- Develop LLM-based applications such as text summarization, chatbots, and sentiment analysis.
- Optimize and deploy large language models efficiently in public sector environments.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact Govtra to arrange.
Course Outline
Introduction to Large Language Models for Government
- Overview of Natural Language Processing (NLP) for government applications
- Introduction to Large Language Models (LLMs) in the public sector
- Meta AI's contributions to LLM development for government use
Understanding the Architecture of Meta AI LLMs for Government
- Transformer architecture and self-attention mechanisms in governmental contexts
- Training methodologies for large-scale models tailored for government operations
- Comparison with other LLMs (GPT, BERT, T5, etc.) suitable for government tasks
Setting Up the Development Environment for Government
- Installing and configuring Python and Jupyter Notebook for government projects
- Working with Hugging Face and Meta AI’s model repository for government applications
- Using cloud-based or local GPUs for training models in a governmental setting
Fine-Tuning and Customizing Meta AI LLMs for Government
- Loading pre-trained models for government-specific tasks
- Fine-tuning on domain-specific datasets relevant to government operations
- Transfer learning techniques optimized for public sector workflows
Building NLP Applications with Meta AI LLMs for Government
- Developing chatbots and conversational AI for government services
- Implementing text summarization and paraphrasing for government documents
- Sentiment analysis and content moderation in governmental communications
Optimizing and Deploying Large Language Models for Government
- Performance tuning for inference speed in governmental applications
- Model compression and quantization techniques for efficient government use
- Deploying LLMs using APIs and cloud platforms designed for government
Ethical Considerations and Responsible AI for Government
- Bias detection and mitigation in LLMs for government applications
- Ensuring transparency and fairness in AI models used by the government
- Future trends and developments in AI relevant to government operations
Summary and Next Steps for Government
Requirements
- A foundational understanding of machine learning and deep learning concepts
- Proficiency in Python programming
- Knowledge of natural language processing (NLP) principles
Audience for Government
- Artificial Intelligence Researchers
- Data Scientists
- Machine Learning Engineers
- Software Developers with an interest in NLP
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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