LLM Large Language Models

Stable Diffusion Stats

Stable Diffusion Statistics 2023 Stable Diffusion is a deep learning, text-to-image model released in 20221. It is primarily used to generate detailed images conditioned on text descriptions. However, it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt1. It was developed by the start-up … Read more


AI ChatGPPT Prompt Marketplace AIPRM Statistics 2023 AIPRM is an AI Prompt Marketplace for ChatGPT, Midjourney & DALL-E1. It offers a list of curated prompt templates for SEO, SaaS, and more to ChatGPT2. AIPRM has over 1,500,000 users2. The AIPRM browser extension has many free features, but also many new premium features like “Favorites,” “Hidden,” … Read more

Microsoft Orca AI Stats

Microsoft Orca AI Statistics Microsoft researchers introduce Orca, a 13-billion parameter model that learns complex explanation traces and step-by-step thought processes from GPT-4. Orca’s learning strategy significantly improves upon state-of-the-art instruction-tuned models, tackling task diversity, query complexity, and data scaling challenges. The researchers use GPT-4’s query and response pairs to guide student models, further enhanced … Read more

Speech Recognition Statistics

AI speech recognition technology is rapidly changing. With advancements in artificial intelligence, improved access to data, and new technological capabilities, the technology is now used in various applications and industries. This blog post explores current and anticipated trends in speech recognition statistics for 2023. Through surveys and data analysis, we’ll shed light on trends related … Read more

Explainable AI (XAI) Stats

Explainable AI (XAI) Statistics 2023 The global XAI market is expected to grow from $450 million in 2019 to $2.6 billion by 2024. The top five use cases for XAI are fraud detection, risk assessment, medical diagnosis, customer service, and autonomous driving. The three main types of XAI are rule-based explanation, model-agnostic explanation, and interpretable … Read more

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