OpenAI and journalism

Foundational models are large deep-learning neural networks that are used as a starting point to develop effective ML models. They rely on large-scale training data and exhibit exceptional zero/few-shot performance in numerous tasks, making them invaluable in the field of natural language processing and computer vision. Foundational models are also used in Monocular Depth Estimation…

The most recent advancement in the field of Artificial Intelligence (AI), i.e., Large Language Models (LLMs), has demonstrated some great improvement in language production. With model sizes reaching billions of parameters, these models are stepping into every domain, ranging from healthcare and finance to education. Though these models have shown amazing capabilities, the development of…

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Processing extensive sequences of linguistic data has been a significant hurdle, with traditional transformer models often buckling under the weight of computational and memory demands. This limitation is primarily due to the quadratic complexity of the attention mechanisms these models rely on, which scales poorly as sequence length increases. The introduction of State Space Models…

Speech recognition technology has become a cornerstone for various applications, enabling machines to understand and process human speech. The field continuously seeks advancements in algorithms and models to improve accuracy and efficiency in recognizing speech across multiple languages and contexts. The main challenge in speech recognition is developing models that accurately transcribe speech from various…

In the News Generative AI trends 2025: LLMs, data scaling & enterprise adoption Generative AI is entering a more mature phase in 2025. Models are being refined for accuracy and efficiency, and enterprises are embedding them into everyday workflows. artificialintelligence-news.com In The News Anthropic just made its latest move in the AI coding wars The…