Welcome and Opening Remarks
Lukas Biewald, CEO and Co-Founder at Weights & Biases
We’ll kick off Fully Connected 2023 with a keynote from W&B’s CEO and Co-founder Lukas Biewald. He’ll set the stage for the day and introduce a new product we think you’re going to love.
W&B for Model CI/CD
Carey Phelps, Founding PM at Weights & Biases
Memory in LLM Applications
Harrison Chase, Co-Founder & CEO at Langchain
This talk will focus on how “memory” in the context of LLM applications. Memory is most often discussed in the context of chatbots so it will start with an overview of conversational memory. This can vary from simple (buffer of recent messages) to complex (extracting and dynamically generating a knowledge graph). It will then cover recent advances in memory, including the “Generative Agents” paper. It will finish will an overview of where the space is now and where it could go in the future (it is still early days!)
NLP is the future of AI
Richard Socher, Founder & CEO at You.com
This session delves into the immense potential of natural language processing and generative AI, in revolutionizing summarization, human productivity and online search. Led by Richard Socher, a top NLP research scientist and founder and CEO of You.com, the session showcases his transition from academic research to large-scale AI in industry. Richard will explore AI in search and demonstrate its most impactful use cases.
Building trustworthy, safe, and secure LLM conversational systems
Jonathan Cohen, VP of Applied Research at NVIDIA
Large language models (LLMs) are incredibly powerful and capable of answering complex questions, performing feats of creative writing, developing, debugging source code, and so much more. Yet, building these LLM applications in a safe and secure manner is challenging. Because safety in generative AI is an industry-wide concern, NVIDIA developed NeMo Guardrails as an open-source toolkit to help developers guide generative AI applications to create impressive text responses that stay on track and on topic.
Custom Chatbots using LLMs, Streamlit, LangChain, and Snowflake - Why and How
Adrien Treuille, Head of Streamlit at Snowflake
Chatbots are not just a passing fad. Their ability to express successive task refinement with a Large Language Model (LLM) makes chatbots a fundamental UI paradigm of the LLM era. In this talk, we’ll preview a new chat UI in Streamlit, explain some of the design decisions that went into this design. Finally, we will build our own custom chatbot, live on stage, using Streamlit, LangChain, and Snowflake.
The Future of Generative AI
Ari Kalfayan, global head of early-stage Business Development for AI/ML startups & VC at AWS
Generative AI is one of the hottest topics in business and the AWS Gen AI Accelerator has picked the top 21 Gen AI companies in the world to accelerate their growth and technical development.
Join us for a panel with 4 of the top startups in our inaugural cohort as we talk through the Generative AI market as a whole. We’ll discuss the tooling needed to develop Gen AI applications and share helpful insights on how people can leverage these tools and applications.
Featuring:
- Bernardo Aceituno, Co-Founder at Stack AI
- Eiman Ebrahimi, CEO at Protopia AI
- Mihail Eric, Co-CEO at Storia AI
- Max Mergenthaler, CEO and Co-Founder at Nixtla
Leadership needs us to do gen AI, what do I do?
Chip Huyen, Founder & Ceo at Claypot AI
Everywhere we go, we see companies trying to figure out their generative AI strategy, but few seem to know what exactly to do. In this short talk, we’ll discuss key considerations when evaluating LLMs.
Why ‘no-code’ will power the long tail of AI applications
Tim Urban, Writer, Illustrator, and Co-Founder of Wait But Why
Generative AI is capable of advanced reasoning and creativity that can be immediately applied to a broad range of knowledge work. Yet the bottleneck to broader adoption will be enabling the creation and experimentation of AI-enabled workflows on a large scale. The no-code approach to app-building is very well-suited to enabling the long tail AI applications. In this talk, we discuss the opportunity, and design patterns, for no-code LLM apps.
Large Models, AI, Human History and the Future
Tim Urban, Writer, Illustrator, and Co-Founder of Wait But Why
Back in 2014, long before Artificial Intelligence became the subject that everyone is talking about, Tim Urban began some serious research. It hit him pretty quickly that what’s happening in the world of AI is not just an important topic, but, by far THE most important topic for our future. After three years of diving deeply into the subject and all its future implications, Tim published “The AI Revolution and the Road to Superintelligence.” Vox dubbed this Tim’s “epic series on artificial intelligence,” taking readers on a deep exploration of what AI is, how it works, and why it will dramatically change our lives.
As AI has expanded into our world, so has Tim’s knowledge and insights. With today’s conversations on AI taking on multiple dimensions, Tim Urban remains the ultimate (and frequently entertaining) explainer of the most transformational shift in the way we live, work, and evolve as a society.
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