Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...

Corey Schafer’s YouTube channel is a go-to for clear, in-depth video tutorials covering a wide range of Python topics. The ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective ...

Our Sports Data Analysis provides a detailed look at exclusive sports statistics, metrics, and metadata, offering a structured approach to understanding game data. This section features insights into ...

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...

Founded by former Google Japan leaders, InfiniMind is building enterprise AI to turn vast, unused video archives into ...

Eric Fan, CEO of Bridge Data Centres outlines hyperscale focus, vertical integration and sustainability targets as the company plans growth beyond APAC Eric Fan arrived in the data centre sector four ...

Fundamental has built a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by enterprises.

Pandas TA Classic is an easy-to-use library that leverages the Pandas package with 150 indicators and utility functions and 62 TA Lib candlestick patterns (212 total). Many commonly used indicators ...

DataBank’s Tony Qorri explains how the company’s unique Universal Data Hall Design provides a future-ready foundation for enterprise AI DataBank currently operates in 25 markets with 70+ data centres.