The Rise of Ambient AI Agents

​Description:
Ambient agents are a new class of AI systems that listen for events and act in the background—only surfacing when they need our approval. Unlike chatbots or copilots that wait for a prompt, these agents are triggered by log lines, email hooks, or metric anomalies, making them ideal for overnight triage, cost-sentinel tasks, or post-deploy rollbacks. 2025 is the inflection point: open-weight LLMs, cheap embeddings, and mature streaming pipelines finally make ambient patterns practical. The session clarifies the concept, shows why real-time speed is overrated for many workloads, and outlines proven “human-in-the-loop” control patterns.

​Speaker:
Luka Barbakadze is a Research Engineer and Co-founder of AI Lab, specializing in the development of Large Language Models. He led the development of the first Georgian LLM, overseeing data preparation, model training, and deployment. His current work focuses on both advancing LLMs for agentic use cases and building intelligent autonomous systems. With a strong background in machine learning and data science, he is committed to enhancing multilingual AI and making cutting-edge technologies accessible to underrepresented languages. His work bridges research and production, delivering scalable, real-world AI solutions.

​Location:
Rooms Hotel Tbilisi, Central Room -1 floor (The main entrance, Chovelidze street side)