top of page
|
Applications Closed
Resources (2023)
Architecture patterns for building generative AI applications
Domain & Region specific LLMs : Importance and Challenges
How to get to your first ten customers
Aligning product/market fit in a dynamic technology markets
Conversations between Founders and Investors
Generative AI with Hugging Face on AWS
Hollywood and GenAI: Learnings/Notes from the Silicon Valley
AWS Trainium and AWS Inferentia - purpose built ML accelerators for Gen AI workloads
Scaling Deeptech startups with frugality and right talent
Building and Evaluating LLM Applications
CTO - The Role of the Chief Tension Officer
Generative AI methods for drug and small molecule synthesis
Generative AI in Media : Founder's perspective
Building the competitive advantage through Technology, Talent, Culture and Pricing
How LLMs have redefined the way we do AI
Developing a “product-thinking” mindset
India as the AI Garage for the World
Resources (2022)
Masterclass: B2B SaaS Sales In A Nutshell: What Startups Need To Know
Masterclass: Model Governance: An Often Overlooked Reality
Masterclass: B2B SaaS Sales In A Nutshell: What Startups Need To Know
Masterclass: Amazon SageMaker - Machine Learning For Every Data Scientist And Developer
Masterclass: From X To 10X, The Journey of an AI-First Startup
Masterclass: Growth Frameworks for Scale, Monetization and Retention - Leading to acquisition
Fireside Chat: Thinking The Long Term In CVC with an APJ Lens
Panel Discussion: Scaling AI-first startups across diverse industries: From CTO's Lens
Masterclass: Building up AI capability cost effectivity
Masterclass: Penetrating enterprises horizontally with AI/ML solutions
Panel Discussion: A 360-degree Approach To Building An AI Company
Fireside Chat: Building a core ML product
Masterclass: Data Science first versus Product/Business first
Masterclass: Deep Dive Into AI-First Startups At Scale
bottom of page