What we’re about
What is Generative AI?
Large language models (LLMs) are advanced AI systems designed to understand human language's intricacies and generate intelligent, creative responses when queried. LLMs are exceptional at multi-modal content generation, Q&A, Dialogue, logical reasoning, translation, knowledge graphs, semantic search, code generation, text classification, and summarization tasks. LLMs can potentially revolutionize how enterprises incorporate generative AI in business transformation.
Who should attend?
- Business leaders exploring Generative AI to tackle business challenges
- Entrepreneurs interested in developing Generative AI applications
- Technology professionals planning to practice Generative AI
- Product managers shaping Generative AI applications
- Students and researchers enthusiastic about exploring Generative AI.
Event Format
- Presentations, Panel discussions, Workshops, Tutorials, Networking
- Invite Product houses, Open Source teams, and Startups to present
- Interactive and collaborative
Topics Covered (A few samples)
- What and Why Generative AI? A Practical View
- What are Large Language Models and Products?
- Business Applications of Generative AI (Industry specific)
- Understanding LLMs - A Technical deep dive
- LLM Application Life Cycle
- How do we adapt LLMs to business needs?
- Hands-On Workshops: Implementing Generative AI Solutions
- Code Generation using LLMs
- Responsible AI Practices: Ensuring Fairness and Bias Mitigation
- Data Privacy and Security in Generative AI
- Innovations and Emerging Trends in Generative AI Startups
Benefits of Participation
- Networking opportunities with professionals from business and technology.
- Access to the latest trends and developments in Generative AI.
- Opportunities for collaborative projects and partnerships.
Upcoming events (1)
See all- Pinecone - Gen AI and Vector DBLewis Library, Princeton, NJ
Location: Directions to Princeton Univerisity, Lewis Library, Room 120
Speaker: Avery Lewis
Pinecone, Enterprise Account ExecutiveAvery is a seasoned technology sales executive who has helped clients deploy Generative AI, SaaS applications, cybersecurity, predictive analytics, computer vision, and adaptive robotics.
Pinecone cloud-based and serverless vector DB combines state-of-the-art vector search libraries, advanced features such as filtering, and distributed infrastructure to provide high performance and reliability at any scale. Pinecone team built large machine learning platforms, databases, and search engines at AWS, Yahoo, Splunk, Databricks, and collectively published more than 100 academic papers and patents on machine learning, systems, and algorithms.
Agenda
- Vector DB
- What is a VectorDB?
- What’s special about Gen AI apps that need Vector DB?
- Why do you need a purpose-built vector solution? - Pinecone
- Traditional Vector DB Concepts
- Technology and Architecture Overview - Why Pinecone? Pinecone unique architecture and algorithms
- How is the Industry adopting Vector DB? PoC to Production
- By Industry
- Some customer examples of Pinecone - How can you learn more/where can you start to build GenAI apps?
- Vector DB