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Please Use Streaming Workload to Benchmark Vector Databases | by Eric Zhù | Dec, 2023

Why static workload is insufficient and what I learned by comparing HNSWLIB and DiskANN using streaming workload Image by DALLE-3Vector databases are built for high-dimensional vector retrieval. Today, many vectors are embeddings generated by deep neural nets like GPTs and CLIP to represent data points such as pieces of text, images, or audio tracks. Embeddings…

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Meet GROOT: A Robust Imitation Learning Framework for Vision-Based Manipulation with Object-Centric 3D Priors and Adaptive Policy Generalization

With the increase in the popularity and use cases of Artificial Intelligence, Imitation learning (IL) has shown to be a successful technique for teaching neural network-based visuomotor strategies to perform intricate manipulation tasks. The problem of building robots that can do a wide variety of manipulation tasks has long plagued the robotics community. Robots face…

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The Rise Of AI In The Banking And Finance Industry: Use Cases And Applications | by LeewayHertz

Artificial Intelligence (AI) has emerged as a transformative technology across various industries, and banking is no exception. In recent years, banks have increasingly adopted AI to enhance operations, improve customer experiences, and optimize decision-making processes. By leveraging AI capabilities, banks can analyze vast amounts of data, identify patterns, and generate valuable insights that aid in…

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Meet HITL-TAMP: A New AI Approach to Teach Robots Complex Manipulation Skills Through a Hybrid Strategy of Automated Planning and Human Control

Teaching robots complicated manipulation skills through observation of human demonstrations has shown promising results. Providing extensive manipulation demonstrations is time-consuming and labor costly, making it challenging to scale up this paradigm to real-world long-horizon operations. However, not all facets of a task are created equal. A new study by NVIDIA and Georgia Institute of Technology…

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