New Year Offer End Date: 30th April 2024
Program
Large Language Models (LLMs) and Generative AI
Unlocking the Power of Large Language Models and Generative AI for Innovation.
Skills you will gain:
About Program:
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.
Program 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.
What you will learn?
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.
Mentor Profile
Fee Plan
INR 1999 /- OR USD 50
Get an e-Certificate of Participation!
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
Career Supporting Skills
Program 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