Google’s Next Generation Language Model PaLM 2

Google's Next Generation Language Model PaLM 2

PaLM 2 is a state-of-the-art language model with exceptional multilingual, reasoning and coding capabilities and is faster and more efficient than previous models:

Multilinguality: PaLM 2 is more heavily trained on multilingual text, spanning more than 100 languages.

Reasoning: PaLM 2’s wide-ranging dataset includes scientific papers and web pages that contain mathematical expressions.

Coding: PaLM 2 was pre-trained on a large quantity of publicly available source code datasets.

PaLM 2 available in four sizes from smallest to largest: Gecko, Otter, Bison and Unicorn:

Gecko is so lightweight that it can work on mobile devices and is fast enough for great interactive applications on-device, even when offline.

PaLM 2 introduces the latest in advanced AI capabilities directly into our products and to people globally— including consumers, developers, and enterprises of all sizes.

A few examples of this include PaLM 2’s improved multilingual capabilities which are expanding Bard to new languages and Workspace features in Gmail and Google Docs, and Google Sheets to help you accomplish more.

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Med-PaLM 2 is technology which primarily assists medical professionals:

Med-PaLM 2, trained by our health research teams with medical knowledge, can answer questions and summarize insights from a variety of dense medical texts. It achieves state-of-the-art results in medical competency, and was the first large language model to perform at “expert” level on U.S. Medical Licensing Exam-style questions.

Sec-PaLM can be used for cybersecurity purposes to help identify threats:

Sec-PaLM is a specialized version of PaLM 2 trained on security use cases, and a potential leap for cybersecurity analysis. Available through Google Cloud, it uses AI to help analyze and explain the behavior of potentially malicious scripts, and better detect which scripts are actually threats to people and organizations in unprecedented time.

PaLM 2 is technology developed to increase workload efficiencies:

PaLM 2 shows us the impact of highly capable models of various sizes and speeds — and that versatile AI models reap real benefits for everyone.

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