Google Launches Their AI in 2023!
In a bid to remain at the forefront of technological progress, Google has released the new PaLM 2, a next-generation artificial intelligence (AI) language model which it says rivals leading AI systems, and even outperforms some in certain tasks.
The Launch of PaLM 2
This is the confidence with which tech giant Google launched its PaLM 2 at its annual I/O conference. Announced by Google CEO, Sundar Pichai, the company will be integrating the AI system into 25 new features and products.
This is the confidence with which tech giant Google launched its PaLM 2 at its annual I/O conference. Announced by Google CEO, Sundar Pichai, the company will be integrating the AI system into 25 new features and products.
Is PaLM2 a rival for ChatGPT?
Similar to other large language models (LLMs), like ChatGPT, PaLM 2 is a general purpose AI, meaning it can power a similar-style chatbot, as well as translate languages, write code, and analyse images. Like GPT-4, OpenAI's latest iteration of its AI that isn't yet widely available to the public, Google's PaLM 2 is 'multimodal', meaning it has several ways of operating. The company gave an example of this where it took a photo of a kitchen shelf with ingredients and asked PaLM 2 to create a recipe from what was inputted.
How will we access PaLM 2?
The first way is through Bard, Google's existing chatbot, which is being made publicly available as we speak. It's available in English, Korean, and Japanese, with 40 other languages in Google's sight in the near future.
Then there's also Duet AI, a feature that will accompany Google Docs, Google Slides, and Google Sheets. For example, an image generator in Slides will help you bring your ideas to life visually, while in Docs, it can help you write copy. In a test, much like ChatGPT's functionality, Google asked its AI to write a job spec ad, and it came back with a full advert, including spaces to input the company name.
What is PaLM 2 trained in?
Google has stated that it's trained PaLM 2 in multilinguality, reasoning, and coding.
- Multilinguality: Its training spans over 100 languages, which the company says has greatly improved its ability to translate the nuances of language, like poems, idioms, and riddles, which are typically tough nuts to crack. The AI passes advanced language proficiency at mastery level.
- Reasoning: It's datasets include scientific papers and webpages with mathematical expressions, and because of this, it shows advanced abilities in logic, common sense, and maths. This is in contrast to other LLMs which have typically struggled with mathematical problems up to this point, often requiring the assistance of third-party plugins to tackle them.
- Coding: It was trained using a large database of source code datasets, meaning it can output programming languages like Python and JavaScript, along with specialised code in languages like Prolog, Fortran, and Verilog.
What sizes will PaLM 2 be available in?
Stating that bigger isn't always better, PaLM 2 will come in four sizes; from lightest to heaviest these are: Gecko, Otter, Bison, and Unicorn. Gecko is lightweight enough that it's perfect for mobile devices but still fast enough that it can be used for a variety of applications, even while offline. Other sizes will be deployed to other applications and devices, dependent on the need.
What other applications does PaLM 2 have?
Google launched its med-PaLM 2, trained by health research teams to deliver knowledge and insights from a range of medical texts. According to Google, 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." It's now adding multimodal capabilities to med-PaLM 2 to help improve patient outcomes in the future, such as by synthesising data like x-rays and mammograms.
Then there's Sec-PaLM, a version of the original AI trained in security use cases, with the aim of advancing cybersecurity analysis. It's available through Google Cloud and analyses and explains potentially malicious code in lightning-fast time.
Finally, there's the PaLM 2 API, which developers can now sign up for. Google is also already working on Gemini, its next generation AI built from the ground up to be highly efficient at tool and API integrations, built with innovations such as memory and planning. Once it's ready, it will be deployed with varying sizes, much like PaLM 2, so it works across a range of devices and applications.
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