Edward Z. Yang’s Blog is a treasure trove of knowledge for Python enthusiasts, machine learning practitioners, and programming language aficionados. With his expertise, engaging writing style, and unique visualizations, Edward takes you on a journey through the depths of Python and PyTorch. So div...
“The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regulariz...
"Responsible AI practice is starting to go mainstream. In fact, Big Tech has large in-house teams and divisions under their Responsible AI practice," said Nikhil Kurhe, co-founder and CEO, of Finarkein Analytics.
2) FinGPT - an open-source LLM for the finance sector; it takes a data-centric approach, providing researchers & practitioners with accessible resources to develop FinLLMs. Paper, Tweet 3) Crowd Workers Widely Use Large Language Models for Text Production Tasks - estimates that 33-46% of cr...
the essential aspects of LLM-based multi-agent systems; it includes a summary of recent applications for problem-solving and word simulation; it also discusses datasets, benchmarks, challenges, and future opportunities to encourage further research and development from researchers and practitioners. ...
identifying critical failures in both commercial and state-of-art models. In a user study, a team responsible for a commercial sentiment analysis model found new and actionable bugs in an extensively tested model. In another user study, NLP practitioners with CheckList created twice as many tests...
Data science practitioners note matplotlib flexibility and integration capabilities. Andrii Babii, for instance, prefers using matplotlib with seaborn and ggplot2.Denis Yarats (Facebook AI Research) says he chooses matplotlib mostly because it’s integrated well into the Python toolset and can be used...
All these challenges necessitated a new set of methods and techniques to deal with the same. Big data involves the four ‘V’s — Volume, Variety, Veracity, and Velocity — which differentiates it from conventional data. Volume: The amount of data involved here is so humongous, that it ...
In summary, while Java might not be the first choice for many machine learning practitioners due to the popularity of languages like Python, it still offers significant advantages in terms of integration, performance, security, and compatibility in specific contexts, especially when working within the...
With the AI industry moving so quickly, it’s difficult for ML practitioners to find the time to curate, analyze, and implement new research being published. To help you quickly get up to speed on the latest ML trends, we’re introducing our research series, in which we curate the key ...