Automation Data Scarcity Webinar 
Marktechpost
JULY 22, 2024
However, acquiring such datasets presents significant challenges, including data scarcity, privacy concerns, and high data collection and annotation costs. Artificial (synthetic) data has emerged as a promising solution to these challenges, offering a way to generate data that mimics real-world patterns and characteristics.
Marktechpost
AUGUST 12, 2024
If left unchecked, vulnerabilities can lead to significant security breaches, compromising the integrity of software and the data it handles. Over the years, the development of automated tools to detect these vulnerabilities has become increasingly important, particularly as software systems grow more complex and interconnected.
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Marktechpost
AUGUST 2, 2024
This technology is vital for virtual assistants, automated transcription services, and language translation applications. Speech recognition is a rapidly evolving field that enables machines to understand and transcribe human speech across various languages. If you like our work, you will love our newsletter.
Marktechpost
AUGUST 5, 2024
They use a three-stage training methodology—pretraining, ongoing training, and fine-tuning—to tackle the data scarcity of the SiST job. The team trains their model continuously using billions of tokens of low-quality synthetic speech translation data to further their goal of achieving modal alignment between voice and text.
Marktechpost
JULY 25, 2024
Large language models (LLMs) show promise in solving high-school-level math problems using proof assistants, yet their performance still needs to improve due to data scarcity. Compilation Challenges: The team developed automated scripts to find the closest official releases for projects using non-official Lean 4 versions.
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