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Link to Live Stream:
https://youtube.com/live/inP6PflTjyA

Title: How Vector Similarity Search and Generative AI can help you build Smart Apps

Description: In this session, we'll learn how to leverage machine learning models and cutting-edge software tools —including Vector Similarity Search, Embeddings, Generative AI, Prompt Engineering and Retrieval Augmentation—to build smart applications such as recommendation engines, semantic search, and chatbots with intelligent human-like conversations. While deep learning models like GPT, BERT, CLIP, and YOLO have revolutionized AI and machine learning, most companies still don't utilize them for real-world applications due to their resource requirements: huge datasets, computing power, and data science expertise. Generative AI and Vector Databases provide a more practical alternative for infusing AI into your applications by leveraging vector embeddings from giant pre-trained models (e.g., Large Language Models, Large Vision Models) and vector similarity search techniques. This session will explain the key concepts behind using vector embeddings for similarity search, selecting the right pre-trained deep learning model, generating vector embeddings, and how to leverage the latest innovations in generative AI in conjunction with vector databases using retrieval augmentation. We'll also provide real-world examples demonstrating how these techniques can be applied in practice. Join us to learn how you can leverage embeddings, vector databases for vector similarity search, and generative AI to affordably bring state-of-the-art AI power to your projects.

Speaker: Nava Levy
About Her: Nava is a Developer Advocate for Data Science and MLOps. She started her career in tech with an R&D Unit in the IDF and later had the good fortune to work with and champion Cloud, Big Data, and DL/ML/AI technologies just as the wave of each of these was starting. Nava is also a mentor at the MassChallenge accelerator, is on the AI/ML advisory board for DevNetworks and is the founder of the EdTech venture LerGO. In her free time she enjoys cycling, 4-ball juggling, and reading fantasy and sci-fi books.

Linkedin: https://il.linkedin.com/in/nava1

Artificial Intelligence
Data Analytics
Data Science
Machine Learning In Cloud

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