Google PaLM 2 is a next-generation large language model (LLM) that builds on Google's legacy of breakthrough research in machine learning and responsible AI. It excels at advanced reasoning tasks, including:
Code and math
Classification and question answering
Translation and multilingual proficiency
Natural language generation
PaLM 2 can accomplish these tasks because of the way it was built, which brings together:
Compute-optimal scaling
An improved dataset mixture
Model architecture improvements
PaLM 2 is still under development, but it has already achieved state-of-the-art results on a variety of benchmarks. For example, it was the first LLM to perform at an "expert" level on the MedQA dataset of US Medical Licensing Examination (USMLE)-style questions, reaching 85%+ accuracy.
PaLM 2 is being used to power a variety of Google products and services, including:
Google Search
Google Translate
Google Docs
Gmail
Google Sheets
Vertex AI
It is also being used to develop new AI applications in areas such as:
Healthcare
Cybersecurity
Education
Creative writing
Google is committed to developing and deploying AI responsibly. PaLM 2 is no exception. All versions of PaLM 2 are evaluated rigorously for potential harms and biases, capabilities and downstream uses in research and in-product applications.
Here are some examples of how Google PaLM 2 is being used today:
Healthcare: PaLM 2 is being used to develop new AI tools that can help doctors diagnose diseases, develop treatment plans, and provide personalized care to patients.
Cybersecurity: PaLM 2 is being used to develop new AI tools that can help organizations detect and prevent cyberattacks.
Education: PaLM 2 is being used to develop new AI tools that can help students learn more effectively and efficiently.
Creative writing: PaLM 2 is being used to develop new AI tools that can help writers generate new ideas, write different kinds of creative content, and improve their writing skills.
Google PaLM 2 is a powerful new AI tool that has the potential to revolutionize many different industries and areas of our lives. As it continues to develop and improve, we can expect to see even more innovative and groundbreaking applications for it in the future.
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