Large Language Models (LLMs) have rapidly transitioned from research environments into practical production applications. They serve diverse functions, ranging from customer support chatbots and code generation tools to content creation systems. This swift integration raises a crucial question: how can it be determined if an LLM operates effectively? Unlike traditional deterministic software, where unit tests
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When DeepMind’s AlphaGo defeated Go world champion Lee Sedol in March 2016, it showcased a landmark moment in artificial intelligence. This match utilized hardware Google had operated in production for over a year without public acknowledgment. The Tensor Processing Unit, or TPU, embodied a significant shift in computing methodology, emphasizing that sometimes doing less achieves
Read MoreDatabricks is a cloud platform that helps companies manage all their data in one place. It combines the best features of data warehouses and data lakes into a lakehouse architecture, which means any type of data can be stored and processed effectively. Recently, Databricks developed an internal AI-powered agentic platform that has reduced database debugging
Read MoreThis article delves into the workings of OpenAI’s CLIP model, drawing insights from the OpenAI Engineering Team’s publicly shared information. The analysis and interpretations presented here are the author’s own, with full credit for the technical details belonging to the original OpenAI researchers. Links to the original resources are provided in the references section. The
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