In the competitive race to dominate the artificial intelligence landscape, model release pages have become increasingly standardized. Developers boast of "low hallucination scores"—often citing figures under 1% on industry-standard factual accuracy tests. To the casual observer or a prospective enterprise buyer, these numbers suggest that the era of AI error is drawing to a close. […]
Beyond Translation: How Feyn AI’s SQRL Model is Redefining Text-to-SQL Accuracy
For years, the industry standard for converting natural language into SQL has been treated as a straightforward translation task. Developers and researchers alike have approached the problem by feeding a database schema into a Large Language Model (LLM) and hoping the output correctly maps user intent to a valid query. However, YC-backed startup Feyn AI […]
Microsoft AI Introduces MAI-Transcribe-1.5: 2.4% WER on Artificial Analysis, Best-in-Class FLEURS Accuracy, and Up to 5x Faster Long-Audio Transcription
Last week Microsoft AI has announced MAI-Transcribe-1.5. It is the second iteration of the company’s in-house speech-to-text family. The model targets accuracy across 43 languages, accents, and noisy environments. The Microsoft team positions it for production transcription workloads. What is MAI-Transcribe-1.5 MAI-Transcribe-1.5 is an automatic speech recognition (ASR) model. It takes audio as input and […]