About PaLM 2

Google has introduced PaLM 2, a state-of-the-art language model that builds upon the company’s previous work in AI and foundation models. This new model is designed to bring transformative uses in a variety of areas, including healthcare and human creativity.

Key Features of PaLM 2

  1. Multilinguality: PaLM 2 has been trained on multilingual text from over 100 languages, significantly improving its ability to understand, generate, and translate nuanced text across a wide variety of languages. It can even pass advanced language proficiency exams at the “mastery” level.
  2. Reasoning: The model’s dataset includes scientific papers and web pages containing mathematical expressions, enabling it to demonstrate improved capabilities in logic, common sense reasoning, and mathematics.
  3. Coding: PaLM 2 has been pre-trained on a large quantity of publicly available source code datasets, allowing it to excel at popular programming languages like Python and JavaScript, and generate specialized code in languages like Prolog, Fortran, and Verilog.
  4. Versatility: PaLM 2 is not only more capable but also faster and more efficient than previous models. It comes in a variety of sizes (Gecko, Otter, Bison, and Unicorn), making it easy to deploy for a wide range of use cases. The smallest model, Gecko, is lightweight enough to work on mobile devices and fast enough for interactive applications on-device, even when offline.