DataHour: How to Build a Generative AI Application?

 Discover foundational models such as Transformers, LLM, Auto Encoders, and their variants, while understanding their crucial role in shaping AI-generated content. Gain insights into the step-by-step process of building your own Generative AI application, exploring project life cycles, and fine-tuning models, and essential tools/frameworks. Engage in a live Q&A session with our experts to find answers to your burning questions about Generative AI.

Chandrashekhar is a seasoned ML and AI Architect with over 25 years of experience, specializing in product development, scalable architectures, and innovative technologies. He is a hands-on leader who consults on Generative AI, Chat GPT, Python, TensorFlow, Keras, ML, Deep Learning, and NLP. Chandrashekhar also serves as a faculty member, delivering advanced training at universities and companies. His career spans AI projects, corporate training, and product development, including roles as CEO at NativeAI and leadership positions at companies like Teamlease, Commonfloor, MetricStream, and MeritTrac.