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Zain Hasan

Former ML engineer at Weaviate and current Senior AI/ML Engineer at Together. Expert in vector database quantization.

Top 3 podcasts with Zain Hasan

Ranked by the Snipd community
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10 snips
Feb 20, 2024 • 1h 12min

Matryoshka Embeddings with Aditya Kusupati, Zach Nussbaum, and Zain Hasan - Weaviate Podcast #89!

Join the 89th Weaviate Podcast on Matryoshka Embeddings with Aditya Kusupati, Zach Nussbaum, and Zain Hasan. Learn about challenges in training Matryoshka embeddings, experiences building embeddings API, Aditya's research on differentiable ANN indexes, and more!
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10 snips
Oct 18, 2023 • 1h 2min

Semantic Search: A Deep Dive Into Vector Databases (with Zain Hasan)

Zain Hasan, a semantic search and augmented LLMs expert, joins the podcast to discuss the challenges of teaching large language models. They explore the concept of vector databases and their role in enhancing chat bots. The episode delves into optimizing search in a fictional service, the size and storage of indexes in vector databases, and the concept of multi-modality in vector search. The discussion also includes implementing semantic search at home using Weaviate and a conversation on Weaviate, an open-source database with managed instances.
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5 snips
Jan 31, 2025 • 52min

Inside Vector Database Quantization: Product, Binary, and Scalar | S2 E23

Zain Hasan, a former ML engineer at Weaviate and now a Senior AI/ML Engineer at Together, dives into the fascinating world of vector database quantization. He explains how quantization can drastically reduce storage costs, likening it to image compression. Zain discusses three quantization methods: binary, product, and scalar, each with unique trade-offs in precision and efficiency. He also addresses the speed and memory usage challenges of managing vector data, and hints at exciting future applications, including brain-computer interfaces.