Large Language Models (LLMs) and Generative AI
Unlocking the Power of Large Language Models and Generative AI for Innovation.
About This Course
This workshop focuses on the fundamentals, advanced techniques, and real-world applications of Large Language Models (LLMs) and Generative AI. Participants will learn about state-of-the-art technologies like GPT, Transformers, and Diffusion Models. The program emphasizes hands-on training, enabling participants to create AI-driven solutions for text generation, creative content, chatbots, and more.
Aim
To provide participants with in-depth knowledge and practical skills in understanding, building, and applying Large Language Models (LLMs) and Generative AI across various domains.
Workshop Objectives
- To introduce participants to the architecture and capabilities of LLMs and Generative AI.
- To train participants in building, fine-tuning, and deploying LLM-based solutions.
- To explore diverse applications of generative AI across industries.
- To discuss ethical challenges and best practices in the use of LLMs and generative technologies.
- To prepare participants for roles in AI innovation and creative technology development.
Workshop Structure
Day 1: Introduction and Fundamentals
Session Title: Foundations of Large Language Models and Generative AI
- Overview of LLMs and Generative AI
- What are Large Language Models?
- Evolution of Generative AI (from GPT to GPT-X).
- Key applications in research, academia, and industry.
- Core Concepts
- Natural Language Processing (NLP) basics.
- The architecture of LLMs: Transformer models and attention mechanisms.
- Ethical considerations: Bias, fairness, and responsible AI.
- Interactive Hands-on Activity
- Exploring pre-trained LLMs using open-source platforms like Hugging Face.
- Text generation and summarization examples.
Day 2: Hands-On with Generative AI
Session Title: Practical Applications of Generative AI
- Applications Across Domains
- Content creation: Automated writing and summarization.
- Research and teaching: Literature reviews and quiz generation.
- Industry use cases: Customer service, chatbots, and data analysis.
- Advanced Features and Fine-Tuning
- Customizing pre-trained models for specific domains.
- Techniques for fine-tuning LLMs.
- Interactive Hands-on Activity
- Experimenting with fine-tuning models for domain-specific tasks (e.g., research paper abstract generation, educational content creation).
- Participants will use platforms like Google Colab for practical implementation.
Day 3: Future Trends and Innovation
Session Title: Scaling LLMs and Driving Innovations
- Emerging Trends in Generative AI
- Scaling models: Challenges and opportunities.
- Multimodal AI: Combining text, image, and video generation.
- Integrating LLMs with other technologies (e.g., IoT, blockchain).
- Collaborative AI and Innovations
- Co-creative systems: AI-human collaboration.
- Open research and AI democratization.
- Interactive Hands-on Activity
- Building a simple chatbot or assistant using pre-trained LLMs.
- Discussing deployment considerations in research, education, and industry.
- Closing Remarks and Q&A
- Recap of the workshop.
- Open discussion on implementing learnings in participants’ fields.
Who Should Enrol?
- AI and ML enthusiasts
- Data scientists and software engineers
- Content creators and marketers exploring generative AI
- Academics, students, and researchers in AI and natural language processing
- Professionals interested in leveraging LLMs for industry-specific applications
Important Dates
Registration Ends
01/24/2025
IST 2:00 PM
Workshop Dates
01/24/2025 – 01/26/2025
IST 5 PM
Workshop Outcomes
- Mastery of the principles and techniques behind LLMs and Generative AI
- Proficiency in fine-tuning and deploying LLMs for practical applications
- Skills to create AI-driven content and conversational systems
- Awareness of ethical, societal, and technical challenges in generative AI
- Insights into the latest trends and innovations in LLMs
Fee Structure
Student
₹1999 | $45
Ph.D. Scholar / Researcher
₹2499 | $50
Academician / Faculty
₹2999 | $55
Industry Professional
₹4999 | $75
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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