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| Memory For LLMs
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| With Heather Downing (Dev Advocate, YugabyteDB), Ben Kearns (CTO, Ferrosa & Grounded Health). |
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Aug 27 (Thu) @ 05:30 PM
FREE
| | Venue, To Be Announced, SF
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Join us for an evening of deep-dive technical talks on LLM Memory-moving beyond context windows to build persistent, context-aware AI applications that scale.
As Large Language Models evolve, the real challenge isn't just generating text-it's remembering context, maintaining state, & managing historical data effectively. How do you provide LLMs with persistent, long-term memory without overwhelming context limits or skyrocketing latency & costs?
Whether you're building stateful AI agents, implementing advanced Retrieval-Augmented Generation (RAG), or managing enterprise-grade vector & relational data, this meetup covers the practical architectures & trade-offs behind modern LLM memory systems.
What We'll Cover
Architectural Patterns for LLM Memory: Moving from simple in-memory context windows to scalable, persistent data layers.
Database & Vector Strategies: How distributed databases & specialized storage handle real-time vector embeddings, chat histories, & state management.
Production Engineering Insights: Lessons learned, common pitfalls, & real-world implementations for stateful AI applications.
Agenda
5:30 PM - 6:00 PM: Networking, Food & Drinks
6:00 PM - 6:10 PM: Welcome & Opening Remarks
6:10 PM - 6:40 PM: Talk 1: Heather Downing (30 mins incl. Q&A)
6:40 PM - 7:10 PM: Talk 2: Ben Kearns (30 mins incl. Q&A)
7:10 PM - 7:40 PM: Talk 3: Arshan Ommid (30 mins incl. Q&A)
7:40 PM - 8:00 PM: Open Q&A, Networking & Wrap-Up
Complimentary food & beverages will be served on-site!
Speakers
Heather Downing - Developer Advocate at YugabyteDB
Connect on LinkedIn:
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heathermdowning
Bio: Heather is an experienced Developer Advocate & engineer passionate about distributed databases, cloud architecture, & modern backend systems. At YugabyteDB, she helps developers build resilient, scalable data infrastructures for modern applications.
Ben Kearns - CTO & Founder at Ferrosa & Grounded Health
Connect on LinkedIn:
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benjaminkearns
Bio: Ben is a technology leader & entrepreneur focused on building intelligent healthcare & enterprise AI solutions. With deep hands-on expertise in machine learning & backend architecture, he specializes in bringing complex AI systems into production.
Arshan Ommid - Founding Sales, GTM & Strategic Partnerships
Connect on LinkedIn:
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arshan-ommid-93782bb0
Bio: Arshan is an entrepreneur & go-to-market leader with experience spanning strategic partnerships, healthcare technology, & biomedical innovation. He has built & led early-stage ventures & brings a founder's perspective on turning emerging technologies into practical products & scalable businesses.
Who Should Come
This event is ideal for:
AI & ML Engineers building LLM-powered applications, agents, or RAG pipelines.
Software Engineers & Architects interested in state management, vector databases, & distributed storage.
Tech Founders & Engineering Leaders looking to understand production-grade AI stack trade-offs.
Developers curious about the practical future of generative AI architecture.
About AAIF
The Agentic AI Foundation (AAIF) is a community dedicated to advancing the understanding & practical application of agentic AI. We bring together engineers, researchers, founders, builders, & AI enthusiasts to explore how autonomous AI systems are designed, evaluated, & deployed.
Through reading groups, workshops, & community discussions, AAIF brings together engineers, researchers, founders, & AI enthusiasts to exchange ideas, challenge assumptions, & learn from one another.
By attending you agree to our Code of Conduct & Privacy Policy.
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