Large Language Models (LLMs) and Generative AI
Unlocking the Power of Large Language Models and Generative AI for Innovation.
Virtual (Google Meet)
Mentor Based
Moderate
3 Days
24 -January -2025
5 PM IST
About
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.
Intended For
- 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
2025-01-24
Indian Standard Timing 2:00 PM
Workshop Dates
2025-01-24 to 2025-01-26
Indian Standard Timing 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
List of Currencies
FOR QUERIES, FEEDBACK OR ASSISTANCE
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Future Career Prospects
- Natural Language Processing (NLP) Engineer
- AI Content Developer
- Generative AI Research Scientist
- Conversational AI Designer
- Product Manager for AI-Driven Applications
Job Opportunities
- AI Engineer specializing in LLMs
- Creative Technologist using Generative AI
- Chatbot Developer
- Data Scientist for Text Analytics
- Researcher in AI Ethics and Governance
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