Vlad leads product management, engineering, and research at Lynceus.ai, a company that specializes in developing AI models for the semiconductor chip manufacturing processes.
With over 20 years of experience, Vlad has held product and engineering roles at organizations such as Verint, CME Group, and Samsung Research, among others. In these positions, he has led the development of a wide range of products, including electronic trading systems, robotics, and AI applications for mobile devices.
He fell in love with Elixir at first sight; for him, it’s the best discovery since sliced bread!
The session delves into the integration of Elixir with GPT-4, offering a glimpse into the future of self-healing code. This session explores the challenges and potential of developing a robust, fault-tolerant software platform capable of autonomous error correction via hot code reloading.
Delve into the mechanics of runtime error correction, code evolution, and the AI-driven processes that empower Open Elixir Self-Healing Intelligence to autonomously navigate and rectify software anomalies in real-time, revolutionizing the way we approach software resilience and reliability in critical applications.
TALK OBJECTIVES:
Understanding the Integration of Elixir with GPT-4: Gain insights into how Elixir’s robust features are enhanced with GPT-4’s AI capabilities for innovative coding solutions.
Hot Code Reloading in Practice: Understand the practical application and benefits of hot code reloading for immediate updates and fixes in live environments.
The Future of Software Development: Get a glimpse into the future of software development, where AI and programming languages like Elixir converge for smarter coding solutions.
Practical Demonstrations and Use Cases: Witness practical demonstrations of the system’s capabilities.
TARGET AUDIENCE: