Mistral AI introduced Mistral OCR, described as the best OCR model globally for comprehensive document understanding.Mistral OCR excels in recognizing various document elements like text, tables, images, and more with high precision.It is recommended for use alongside RAG systems for processing complex PDFs and slides.Google unveiled Gemma 3, optimized for long-context and multimodal tasks, surpassing competitors in single-accelerator model performance.Gemma 3 features enhanced visual encoders supporting high-resolution and non-square images.The model boasts multilingual and multimodal capabilities and processes up to 2,000 pages per minute.Gemma 3 uses distillation techniques, reinforcement learning, and model merging for training, outperforming in mathematics, encoding, and instruction.The process involves a new tokenizer, training on Google TPU using the JAX framework with varying token amounts.The Gemma 3 model's advancements significantly enhance its capabilities in math, programming, and comprehension, scoring high in LMArena assessments.The combined use of Mistral OCR, Gemma 3, and RAG systems can create a powerful OCR agent for various applications.