Large Language Models Meta AI Training Course
Large Language Models (LLMs) developed by Meta AI are powerful deep learning models capable of understanding and generating human-like text. These models are widely used for applications such as chatbots, text summarization, sentiment analysis, and content generation.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level AI researchers, data scientists, and developers who wish to understand, fine-tune, and implement Meta AI's Large Language Models for various NLP applications.
By the end of this training, participants will be able to:
- Understand the architecture and functioning of Meta AI's Large Language Models.
- Set up and fine-tune Meta AI LLMs for specific use cases.
- Implement LLM-based applications such as text summarization, chatbots, and sentiment analysis.
- Optimize and deploy large language models efficiently.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Large Language Models
- Overview of Natural Language Processing (NLP)
- Introduction to Large Language Models (LLMs)
- Meta AI's contributions to LLM development
Understanding the Architecture of Meta AI LLMs
- Transformer architecture and self-attention mechanisms
- Training methodologies for large-scale models
- Comparison with other LLMs (GPT, BERT, T5, etc)
Setting Up the Development Environment
- Installing and configuring Python and Jupyter Notebook
- Working with Hugging Face and Meta AI’s model repository
- Using cloud-based or local GPUs for training
Fine-Tuning and Customizing Meta AI LLMs
- Loading pre-trained models
- Fine-tuning on domain-specific datasets
- Transfer learning techniques
Building NLP Applications with Meta AI LLMs
- Developing chatbots and conversational AI
- Implementing text summarization and paraphrasing
- Sentiment analysis and content moderation
Optimizing and Deploying Large Language Models
- Performance tuning for inference speed
- Model compression and quantization techniques
- Deploying LLMs using APIs and cloud platforms
Ethical Considerations and Responsible AI
- Bias detection and mitigation in LLMs
- Ensuring transparency and fairness in AI models
- Future trends and developments in AI
Summary and Next Steps
Requirements
- Basic understanding of machine learning and deep learning
- Experience with Python programming
- Familiarity with natural language processing (NLP) concepts
Audience
- AI Researchers
- Data Scientists
- Machine Learning Engineers
- Software Developers interested in NLP
21 Hours
Open Training Courses require 5+ participants.
Large Language Models Meta AI Training Course - Booking
Large Language Models Meta AI Training Course - Enquiry
Large Language Models Meta AI - Consultancy Enquiry
Consultancy Enquiry
Upcoming Courses
Related Courses
AI Automation with n8n and LangChain
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.
By the end of this training, participants will be able to:
- Design and implement complex workflows using n8n's visual programming interface.
- Integrate AI capabilities into workflows using LangChain.
- Build custom chatbots and virtual assistants for various use cases.
- Perform advanced data analysis and processing with AI agents.
Read more...
Automating Workflows with LangChain and APIs
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows.
By the end of this training, participants will be able to:
- Understand the basics of API integration with LangChain.
- Automate repetitive workflows using LangChain and Python.
- Utilize LangChain to connect various APIs for efficient business processes.
- Create and automate custom workflows using APIs and LangChain’s automation capabilities.
Read more...
Building Conversational Agents with LangChain
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level professionals who wish to deepen their understanding of conversational agents and apply LangChain to real-world use cases.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its application in building conversational agents.
- Develop and deploy conversational agents using LangChain.
- Integrate conversational agents with APIs and external services.
- Apply Natural Language Processing (NLP) techniques to improve the performance of conversational agents.
Read more...
Building Private AI Workflows with Ollama
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at advanced-level professionals who wish to implement secure and efficient AI-driven workflows using Ollama.
By the end of this training, participants will be able to:
- Deploy and configure Ollama for private AI processing.
- Integrate AI models into secure enterprise workflows.
- Optimize AI performance while maintaining data privacy.
- Automate business processes with on-premise AI capabilities.
- Ensure compliance with enterprise security and governance policies.
Read more...
Cross-Lingual LLMs
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level NLP practitioners and data scientists, content creators and translators, and global businesses who wish to use LLMs for language translation and creating multilingual content.
By the end of this training, participants will be able to:
- Understand the principles of cross-lingual learning and translation with LLMs.
- Implement LLMs for translating content between various languages.
- Create and manage multilingual datasets for training LLMs.
- Develop strategies for maintaining consistency and quality in translation.
Read more...
Deploying and Optimizing LLMs with Ollama
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level professionals who wish to deploy, optimize, and integrate LLMs using Ollama.
By the end of this training, participants will be able to:
- Set up and deploy LLMs using Ollama.
- Optimize AI models for performance and efficiency.
- Leverage GPU acceleration for improved inference speeds.
- Integrate Ollama into workflows and applications.
- Monitor and maintain AI model performance over time.
Read more...
Ethical Considerations in AI Development with LangChain
21 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at advanced-level AI researchers and policy makers who wish to explore the ethical implications of AI development and learn how to apply ethical guidelines when building AI solutions with LangChain.
By the end of this training, participants will be able to:
- Identify key ethical issues in AI development with LangChain.
- Understand the impact of AI on society and decision-making processes.
- Develop strategies for building fair and transparent AI systems.
- Implement ethical AI guidelines into LangChain-based projects.
Read more...
Ethical Deployment of LLMs
7 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level AI professionals and ethicists, data scientists and engineers, and policy makers and stakeholders who wish to understand and navigate the ethical landscape of LLMs.
By the end of this training, participants will be able to:
- Identify ethical issues and challenges associated with LLMs.
- Apply ethical frameworks and principles to LLM deployment.
- Assess the societal impact of LLMs and mitigate potential risks.
- Develop strategies for responsible AI development and usage.
Read more...
Enhancing User Experience with LangChain in Web Apps
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level web developers and UX designers who wish to leverage LangChain to create intuitive and user-friendly web applications.
By the end of this training, participants will be able to:
- Understand the fundamental concepts of LangChain and its role in enhancing web user experience.
- Implement LangChain in web apps to create dynamic and responsive interfaces.
- Integrate APIs into web apps to improve interactivity and user engagement.
- Optimize user experience using LangChain’s advanced customization features.
- Analyze user behavior data to fine-tune web app performance and experience.
Read more...
Fine-Tuning and Customizing AI Models on Ollama
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at advanced-level professionals who wish to fine-tune and customize AI models on Ollama for enhanced performance and domain-specific applications.
By the end of this training, participants will be able to:
- Set up an efficient environment for fine-tuning AI models on Ollama.
- Prepare datasets for supervised fine-tuning and reinforcement learning.
- Optimize AI models for performance, accuracy, and efficiency.
- Deploy customized models in production environments.
- Evaluate model improvements and ensure robustness.
Read more...
LangChain: Building AI-Powered Applications
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.
By the end of this training, participants will be able to:
- Understand the fundamentals of LangChain and its components.
- Integrate LangChain with large language models (LLMs) like GPT-4.
- Build modular AI applications using LangChain.
- Troubleshoot common issues in LangChain applications.
Read more...
Integrating LangChain with Cloud Services
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at advanced-level data engineers and DevOps professionals who wish to leverage LangChain's capabilities by integrating it with various cloud services.
By the end of this training, participants will be able to:
- Integrate LangChain with major cloud platforms such as AWS, Azure, and Google Cloud.
- Utilize cloud-based APIs and services to enhance LangChain-powered applications.
- Scale and deploy conversational agents to the cloud for real-time interaction.
- Implement monitoring and security best practices in cloud environments.
Read more...
LangChain for Data Analysis and Visualization
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at intermediate-level data professionals who wish to use LangChain to enhance their data analysis and visualization capabilities.
By the end of this training, participants will be able to:
- Automate data retrieval and cleaning using LangChain.
- Conduct advanced data analysis using Python and LangChain.
- Create visualizations with Matplotlib and other Python libraries integrated with LangChain.
- Leverage LangChain for generating natural language insights from data analysis.
Read more...
LangChain Fundamentals
14 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.
By the end of this training, participants will be able to:
- Grasp the fundamental principles of LangChain.
- Set up and configure the LangChain environment.
- Understand the architecture and how LangChain interacts with large language models (LLMs).
- Develop simple applications using LangChain.
Read more...
Getting Started with Ollama: Running Local AI Models
7 HoursThis instructor-led, live training in Ecuador (online or onsite) is aimed at beginner-level professionals who wish to install, configure, and use Ollama for running AI models on their local machines.
By the end of this training, participants will be able to:
- Understand the fundamentals of Ollama and its capabilities.
- Set up Ollama for running local AI models.
- Deploy and interact with LLMs using Ollama.
- Optimize performance and resource usage for AI workloads.
- Explore use cases for local AI deployment in various industries.
Read more...
