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Performance improvements . Are up, with google reporting an approximate % increase in scores on the mmlu-pro benchmark, . Which measures general knowledge and reasoning abilities. Both models showed a “considerable ~% improvement” on . Math-related benchmarks, according to the post.“the gemini series is more efficient across the board,” jorge . Argota, founder of an ai consultancy, told pymnts. “these models are text, code and multimodal. . When dealing with complex math or code, they are more understanding and accurate. This could . Be a game changer for ecommerce platforms looking to implement advanced ai features.

Argota highlighted the . Extended context window as a significant advancement.“the models can now process up to million tokens, . Which is a big jump from previous lebanon whatsapp number data versions,” he said. “this means they can handle . Long documents and multimedia inputs with ease. For projects with large datasets or long documents, . This is a huge win.”new features the updates also address speed and efficiency concerns.“along with . Core improvements to our latest models, over the last few weeks we have driven down . The latency with flash and significantly increased the output tokens per second, enabling new use .

Cases with our most powerful models,” google’s blog post said.Argota noted several key new features, . Including “gems, personalized ai assistants,” which allows users to create custom ai assistants for specific . Tasks. He also mentioned the imagen model, “an advanced image generation model that produces higher . Quality images from text prompts,” and gemini live, which enhances conversational ai interactions through voice . Conversations.The price reductions and increased rate limits are expected to impact businesses.“the % price drop . And increased rate limits is a big win for businesses looking to add ai to .