Google Announces PaLM 2, Its Next Generation Language Model (blog.google) 6
Google, in a blog post: PaLM 2 is a state-of-the-art language model with improved multilingual, reasoning and coding capabilities.
Multilinguality: PaLM 2 [PDF] is more heavily trained on multilingual text, spanning more than 100 languages. This 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 solve. PaLM 2 also passes advanced language proficiency exams at the "mastery" level.
Reasoning: PaLM 2's wide-ranging dataset includes scientific papers and web pages that contain mathematical expressions. As a result, it demonstrates improved capabilities in logic, common sense reasoning, and mathematics.
Coding: PaLM 2 was pre-trained on a large quantity of publicly available source code datasets. This means that it excels at popular programming languages like Python and JavaScript, but can also generate specialized code in languages like Prolog, Fortran and Verilog.
Even as PaLM 2 is more capable, it's also faster and more efficient than previous models -- and it comes in a variety of sizes, which makes it easy to deploy for a wide range of use cases. We'll be making 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. This versatility means PaLM 2 can be fine-tuned to support entire classes of products in more ways, to help more people.
At I/O today, we announced over 25 new products and features powered by PaLM 2. That means that PaLM 2 is bringing the latest in advanced AI capabilities directly into our products and to people -- including consumers, developers, and enterprises of all sizes around the world. Here are some examples:
PaLM 2's improved multilingual capabilities are allowing us to expand Bard to new languages, starting today. Plus, it's powering our recently announced coding update.
Workspace features to help you write in Gmail and Google Docs, and help you organize in Google Sheets are all tapping into the capabilities of PaLM 2 at a speed that helps people get work done better, and faster.
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. We're now adding multimodal capabilities to synthesize information like x-rays and mammograms to one day improve patient outcomes. Med-PaLM 2 will open up to a small group of Cloud customers for feedback later this summer to identify safe, helpful use cases.
Multilinguality: PaLM 2 [PDF] is more heavily trained on multilingual text, spanning more than 100 languages. This 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 solve. PaLM 2 also passes advanced language proficiency exams at the "mastery" level.
Reasoning: PaLM 2's wide-ranging dataset includes scientific papers and web pages that contain mathematical expressions. As a result, it demonstrates improved capabilities in logic, common sense reasoning, and mathematics.
Coding: PaLM 2 was pre-trained on a large quantity of publicly available source code datasets. This means that it excels at popular programming languages like Python and JavaScript, but can also generate specialized code in languages like Prolog, Fortran and Verilog.
Even as PaLM 2 is more capable, it's also faster and more efficient than previous models -- and it comes in a variety of sizes, which makes it easy to deploy for a wide range of use cases. We'll be making 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. This versatility means PaLM 2 can be fine-tuned to support entire classes of products in more ways, to help more people.
At I/O today, we announced over 25 new products and features powered by PaLM 2. That means that PaLM 2 is bringing the latest in advanced AI capabilities directly into our products and to people -- including consumers, developers, and enterprises of all sizes around the world. Here are some examples:
PaLM 2's improved multilingual capabilities are allowing us to expand Bard to new languages, starting today. Plus, it's powering our recently announced coding update.
Workspace features to help you write in Gmail and Google Docs, and help you organize in Google Sheets are all tapping into the capabilities of PaLM 2 at a speed that helps people get work done better, and faster.
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. We're now adding multimodal capabilities to synthesize information like x-rays and mammograms to one day improve patient outcomes. Med-PaLM 2 will open up to a small group of Cloud customers for feedback later this summer to identify safe, helpful use cases.
RIP PalmOS (Score:1)
Looks like... (Score:2)
PaLM Pilots are back on the menu, boys!
Re: (Score:2)
My lawyers will be in touch with your lawyers to agree what you're going to pay to keep this out of court.
Re: (Score:2)
Dammit, that sucks! Shakes tiny fist! :)
Coming next from Google... (Score:2)
Functional Automated Content Editing in PaLM.
One more capability for Gemini (Score:1)