This has significantly improved its ability to understand, generate and translate nuanced text - including idioms, poems and riddles - across a wide variety of languages, a hard problem to solve.
PaLM 2 is a state-of-the-art language model with improved multilingual, reasoning and coding capabilities. These are powerful building blocks as we continue to advance the state of the art in AI while building models that can bring real benefit to people in their daily lives.īuilding on this work, today we’re introducing PaLM 2, our next generation language model. More recent advances in how we architect and train models have taught us how to unlock multimodality, the importance of having human feedback in the loop, and how to build models more efficiently than ever. But we’ve learned through our research that it’s not as simple as “bigger is better,” and that research creativity is key to building great models. Over the past decade of developing AI, we’ve learned that so much is possible as you scale up neural networks - in fact, we’ve already seen surprising and delightful capabilities emerge from larger sized models.
As we continue to responsibly advance these technologies, there’s great potential for transformational uses in areas as far-reaching as healthcare and human creativity. Our groundbreaking work in foundation models has become the bedrock for the industry and the AI-powered products that billions of people use daily. When you look back at the biggest breakthroughs in AI over the last decade, Google has been at the forefront of so many of them.
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