talk-data.com

** Important RSVP HERE (Due to limited room capacity, you must pre-register at the link for admission).

Welcome to the AI meetup in London, in collaboration with HPE. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Tech Talk 1: Lessons learned from building a generalist agent Speaker: Sergei Petrov (Meta) Abstract: In this session, I'd like to share the experience of building a generalist agent to secure a spot on the GAIA leaderboard. I'll talk about what worked for us and what didn’t and what architecture we arrived at.

Tech Talk 2: What they don't tell you about using Vector Databases Speaker: Daniel Phiri (Weaviate) Abstract: Cool, I have a Vector database, now what? This talk answers this question, as get into implementation details that can help you scale your project and make the best out of the technology without burning a hole in your pocket.

Tech Talk 3: Coming soon Speaker: Alex Podmore (HPE)

Tech Talk 3: Coming soon

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue: HPE, 1 Aldermanbury Square EC2V 7HR

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 15,000+ AI developers in London or 400K+ worldwide.

Community on Slack/Discord

• Event chat: chat and connect with speakers and attendees
• Sharing blogs, events, job openings, projects collaborations *

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency