PaLM 2

PaLM 2 is Google's next-generation large language model that excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency, and natural language generation. It was built by unifying three distinct research advancements in large language models, including compute-optimal scaling, an improved dataset mixture, and model architecture improvements. PaLM 2 is grounded in Google's approach to building and deploying AI responsibly, and it is evaluated rigorously for potential harms and biases. PaLM 2 is used in other state-of-the-art models, like Sec-PaLM, and generative AI tools like the PaLM API and Bard.

Key Features:

1. Reasoning: PaLM 2 excels at understanding nuances of the human language, including riddles and idioms, and can decompose complex tasks into simpler subtasks.

2. Multilingual translation: PaLM 2 was pre-trained on parallel multilingual text and on a much larger corpus of different languages, making it excel at multilingual tasks.

3. Coding: PaLM 2 was pre-trained on a large quantity of webpage, source code, and other datasets, making it excel at popular programming languages like Python and JavaScript, as well as specialized code in languages like Prolog, Fortran, and Verilog.

4. Compute-optimal scaling: PaLM 2 scales the model size and the training dataset size in proportion to each other, making it smaller than its predecessor, PaLM, but more efficient with overall better performance.

5. Improved dataset mixture: PaLM 2 improves on its corpus with a more multilingual and diverse pre-training mixture, including hundreds of human and programming languages, mathematical equations, scientific papers, and web pages.

6. Updated model architecture and objective: PaLM 2 has an improved architecture and was trained on a variety of different tasks, helping it learn different aspects of language.

Use Cases:

PaLM 2 can be effectively utilized in situations where advanced reasoning, multilingual translation, and coding are required. It can help teams collaborate across languages and generate specialized code in various programming languages.

PaLM 2 is Google's next-generation large language model that excels at advanced reasoning tasks, multilingual translation, and coding. It was built by unifying three distinct research advancements in large language models and is grounded in Google's approach to building and deploying AI responsibly. PaLM 2 is evaluated rigorously for potential harms and biases, and it is used in other state-of-the-art models and generative AI tools.