Explore the Future of AI in Software Development: InfoQ’s Upcoming Events and Keynote Speakers

AI is reshaping the landscape of software development, and at InfoQ’s upcoming events, senior software developers will share their insights on the practical applications and ethical considerations of this transformative technology. Here’s a sneak peek of what you can expect at these events:

Keynote: Being a Responsible Developer in the Age of AI Hype
Justin Sheehy, Chief Architect at Akamai, will address the responsibilities of developers in the rapidly evolving AI landscape. His keynote will focus on navigating the hype around AI, using AI systems wisely, and creating AI solutions that minimize harm. Learn how to build trustworthy AI applications by discerning hype from reality.

Best Practices for Deploying Large Language Models in Production
Francesca Lazzeri, Principal Director of Data Science and AI at Microsoft, will delve into the intricacies of deploying large language models (LLMs) in real-world settings. This session will cover the latest best practices for LLM deployment, including computational costs, data quality, model robustness, user satisfaction, and ethical considerations.

Taking LLMs out of the Black Box: A Practical Guide to Human-in-the-Loop Distillation
Ines Montani, Co-Founder & CEO at Explosion, will share practical solutions for integrating state-of-the-art NLP models into real-world applications. Learn about methods for distilling LLMs into smaller, more manageable components that maintain transparency and data privacy.

Efficient DevSecOps Workflows With a Little Help From AI
Michael Friedrich, Senior Developer Advocate at GitLab, will cover enhancing DevSecOps workflows using AI. Explore practical prompts, custom LLMs, and AI agents to streamline tasks such as MR reviews, security analysis, and CI/CD pipeline debugging.

Leveraging Open-Source LLMs for Production
Andrey Cheptsov, Founder and CEO at dstack, will explore the benefits and challenges of using open-source LLMs in production. Learn about the economics of fine-tuning and hosting these models, serving frameworks, and key open-source LLM options.

Creating Your Own LLM From Opensource Models
Sebastiano Galazzo, CTO at Synapsia AI, will guide attendees through creating custom LLMs from open-source models. Discover techniques such as LoRa, quantization, and mixing models to develop a Mixture of Experts model.

In addition to these sessions, there will be tracks on Getting Started in Machine Learning and Generative AI in Production & Advancements, providing a comprehensive introduction to machine learning and exploring the latest advancements in generative AI.

Join us at InfoQ’s events to learn from senior software developers who are pushing the boundaries in AI software development. Stay ahead in this evolving landscape by gaining valuable insights and practical knowledge from industry experts.