Building LLM apps in 2025


Details
Join us for an evening of real-world LLM implementation insights! We're bringing together two industry experts to share practical knowledge you can apply immediately to your LLM projects.
🎯 Who Should Attend:
• Engineers & Developers working with LLMs
• Data Scientists & ML practitioners
• CTOs & Technical Leaders
• Anyone interested in practical GenAI implementation
🎤 Talks & Speakers:
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A Practical Look at Evaluating LLM Apps
Roi Tabach, Senior Data Scientist @ Blink Operations
Want to cut through the buzzwords and get real about LLM evaluation? Roi will share:
• A practical mental model for LLM evaluation
• Key metrics for information retrieval
• Hands-on tips for YAML management
• Real implementation advice from the trenches
About Roi: For the last decade, he's been working in the industry on problems at the intersection of DS&Cyber, and he's been building LLM apps at Blink for the last ~ year.
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Time-tested Data Science Processes Driving LLM Excellence
Yoni Krichevsky, Data Science Consultant
This lecture will highlight how foundational concepts and processes from traditional Data Science are essential for success in projects involving Large Language Models (LLMs). While LLMs offer advanced capabilities, their effectiveness depends on the application of a rigorous Data Science process.
The session will focus on key aspects such as Exploratory Data Analysis (EDA) and preprocessing, emphasizing their role in delivering high-quality outputs. It will also explore other critical elements of the workflow, showcasing how established Data Science practices remain indispensable for achieving excellence in modern LLM projects.
About Yoni: Freelance Data Science consultant with 20+ years in software development, specializing in traditional DS and LLM-based projects. Haifa University lecturer and founder of AI for Good IL, empowering organizations and professionals to harness AI for innovation and social impact.
🤝 About GenAI Israel:
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With 5,000+ members, we're Israel's largest GenAI community focused on technical implementation. Our members include researchers, engineers, CTOs, and data scientists passionate about generative AI technology.
Join our active WhatsApp groups to continue the discussion and stay connected with the community!
📝 Important Notes:
• Please arrive 10-15 minutes early for registration
• Bring your ID for building security
• Limited seats available, first in - first come, RSVP required

Building LLM apps in 2025