quality

Implementing Speculative and Contrastive DecodingLarge Language models are comprised of billions of parameters (weights). For every word it generates, the model has to perform computationally expensive calculations across all of those parameters.Large Language models...

The World Quality Report 2024-25 by OpenText sheds light on groundbreaking trends shaping Quality Engineering (QE) and testing practices globally. With over 1,775 executives surveyed across 33 countries, the report uncovers how AI, automation,...

Traditional quality assurance (QA) processes have long trusted manual testing and predefined test cases. While effective prior to now, these methods are sometimes slow, liable to human error, and result in development delays and...

One answer and plenty of best practices for a way larger organizations can operationalizing data quality programs for contemporary data platformsThat is the approach of the Roche data team that has created one of...

Through the years, the standard of software and the processes by which it's built have gained traction. This has led enterprises to transition from Quality Assurance (QA) to Quality Engineering (QE). With this, enterprises...

Artificial Intelligence (AI) has brought profound changes to many fields, and one area where its impact is extremely clear is image generation. This technology has evolved from generating easy, pixelated images to creating highly...

With the arrival of generative AI, AI applications are transforming and reshaping various industries and changing how people work. Software development isn't any exception. San Francisco- and Tokyo-based startup Autify has built an autonomous AI...

Stability AI has launched a latest image generation artificial intelligence (AI) that may be trained and fine-tuned using only the GPU of the user's PC and infers at high speed without sacrificing quality. ...