AI Beyond the Hype: RAG & Testing Explored

Join us on October 22, 2024 for an evening packed with cutting-edge insights into Artificial Intelligence and its transformative impact on software development and retrieval systems, brought to you by IseeQ.
Whether you're an AI enthusiast, a developer, a tester, or simply curious about the latest tech trends, this event is tailor-made for you!

What's on the Agenda?

Maryna Didkovska, Director of Quality Engineering at EPAM
🗣️ Talk Title: AI in Testing: Myths and Reality
🔍 Abstract: The buzz around AI and LLMs is louder than ever, stirring both excitement and uncertainty. Will AI replace testers and developers, or is it a tool to elevate our capabilities? Maryna cuts through the hype to explore the true potential of AI in software testing. She'll highlight where AI genuinely adds value, how it can automate routine tasks, and why a clear understanding of its capabilities is essential to avoid common pitfalls. Prepare to debunk myths, sidestep frustrations, and embrace best practices that make AI a powerful ally in your development toolkit.

🌟 Why You Should Attend:

• Demystify AI in Testing: Separate fact from fiction to understand what AI can and cannot do.
• Optimize Workflows: Learn how AI can automate mundane tasks, allowing you to focus on more critical aspects.
• Best Practices: Get equipped with strategies to effectively integrate AI into your testing processes.

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Mor Kapronczay, Lead ML Engineer at Superlinked
🗣️ Talk Title: Build Better RAG by Encoding Numbers and Timestamps into Your Embeddings
🔍 Abstract: Large Language Models (LLMs) are revolutionizing businesses through Retrieval-Augmented Generation (RAG). While most focus on improving text generation, Mor argues that optimizing the retrieval process offers greater performance gains. Many RAG use cases involve datasets rich in both text and numerical data. Drawing from a real-world HR Chatbot example, Mor will demonstrate how to seamlessly integrate embeddings from diverse data modalities—like policy texts, helpfulness metrics, and update timestamps—into a single vector. This approach unlocks higher-performing RAG systems that are more aligned with complex, real-world data.

🌟 Why You Should Attend:

• Innovate Retrieval Techniques: Learn how to enhance RAG systems beyond conventional text embeddings.
• Multi-Modal Data Integration: Discover methods to combine numerical and textual data for more effective AI models.
• Real-World Applications: Gain insights from practical use cases that you can apply to your own projects.

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Event Details:

• 📅 Date: Tuesday, October 22, 2024
• 📍 Venue: EPAM Budapest Office
• 🕠 Schedule:
• 17:30: Doors Open
• 18:00: Talks Begin
• 19:30 - 21:00: Networking with Pizza and Beer

🍕🍻 Networking Session: After the talks, stick around for a relaxed networking session. Enjoy pizza and beer while you connect with speakers, share ideas with fellow attendees, and expand your professional network.

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Why This Meetup is a Must-Attend:

• Stay Ahead of the Curve: Gain exclusive insights into the latest AI methodologies and testing strategies.
• Professional Growth: Enhance your skill set with knowledge that can propel your career forward.
• Community Engagement: Be part of Budapest's vibrant tech community and collaborate with like-minded professionals.

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🔔 Secure Your Spot Now!
Don't miss this opportunity to dive deep into AI's practical applications and debunk the myths surrounding it. Seats are limited, so make sure to RSVP soon!
We can't wait to see you there!