HomeWinBuzzer NewsGoogle I/O 2023: Google Unveils next-Gen PaLM 2 Language Model Powering over...

Google I/O 2023: Google Unveils next-Gen PaLM 2 Language Model Powering over 25 Services

PaLM 2 is trained on more than 100 languages, improving its understanding and generation of nuanced text.

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At 2023, unveiled its latest large language model, , which already powers 25 Google services including Bard, Docs, Sheets, and . PaLM 2 offers improved multilingual, reasoning, and capabilities, as well as versatility, with four sizes available for various use cases: Gecko, Otter, Bison, and Unicorn.

PaLM 2 is trained on more than 100 languages, improving its understanding and generation of nuanced text. ā€œThis 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 solveā€, the company shared in a blog post. The model also passes ā€œadvanced language proficiency exams at the ā€˜mastery' levelā€.

Trained on Scientific Papers

In addition to its multilingual capabilities, PaLM 2 has been trained on scientific papers, web pages, and mathematical expressions, enabling it to demonstrate ā€œimproved capabilities in logic, common sense reasoning, and mathematicsā€, says Google. The model has also been pre-trained on extensive codebases, making it proficient in popular languages like and JavaScript, as well as specialized languages like Prolog, Fortran, and Verilog.

Among the specialized Google services powered by PaLM 2 is Med-PaLM 2, which ā€œachieves state-of-the-art results in medical competency, and was the first large language model to perform at ā€˜expert' level on U.S. Medical Licensing Exam-style questionsā€. Another specialized service is Sec-PaLM, which uses PaLM 2 and Google to scan and analyze potentially malicious scripts and cyber threats.

Upcoming Next-Gen Gemini Model to Be Mutlimodal

Google is also developing Gemini, a next-generation multimodal model designed for efficient tool and API integrations. Once fine-tuned and tested for safety, Gemini will be available ā€œat various sizes and capabilities, just like PaLM 2, to ensure it can be deployed across different products, applications, and for everyone's benefit.ā€

Markus Kasanmascheff
Markus Kasanmascheff
Markus is the founder of WinBuzzer and has been playing with Windows and technology for more than 25 years. He is holding a Master“s degree in International Economics and previously worked as Lead Windows Expert for Softonic.com.

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