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PaLM AI | Google's Home-Grown Generative AI
Original article seen at: www.analyticsvidhya.com on July 22, 2023
tldr
- π Google's PaLM 2 is a large language model that powers Bard AI and is integrated with Google Services.
- π PaLM 2 is trained in over a hundred languages, including programming languages and mathematics.
- π± The smallest size of PaLM 2, Gecko, can run on mobile devices.
- π Access to PaLM 2 is through the PaLM API, which can be obtained through Vertex AI or MakerSuite.
summary
Google has released API access to its Pathways Language Model (PaLM), a large language model that powers Bard AI. PaLM 2, the latest version, is not trained in English but in a mixture of over a hundred languages, including programming languages and mathematics. This makes it efficient in generating codes, understanding different languages, and reasoning skills. PaLM 2 comes in four different sizes: Gecko, Otter, Bison, and Unicorn, with the smallest, Gecko, capable of running on mobile devices. Bard AI, powered by PaLM 2, is integrated with Google Services like Gmail, Google Docs, and Google Sheets, and is expected to integrate with third-party applications like Adobe Fire Fly Image Generator and Adobe Express. To access PaLM 2, one needs to have access to the PaLM API, which can be obtained through the Vertex AI or MakerSuite. MakerSuite provides a visual-based way to interact with the PaLM API and allows users to work with generative models directly through its user interface or generate an API token to leverage the power of PaLM 2 through the API in the code.starlaneai's full analysis
The release of PaLM 2 by Google is a significant development in the AI industry. Its multilingual capabilities and integration with Google Services and third-party applications can have far-reaching implications. The availability of PaLM 2 in different sizes, including one that can run on mobile devices, increases its adoption potential. However, the article does not discuss any ethical considerations related to the use of PaLM 2, which is an important aspect to consider given the potential misuse of AI technologies. Overall, the release of PaLM 2 is likely to stimulate further advancements in the field of AI and attract more investments in the industry.
* All content on this page may be partially written by a clever AI so always double check facts, ratings and conclusions. Any opinions expressed in this analysis do not reflect the opinions of the starlane.ai team unless specifically stated as such.
starlaneai's Ratings & Analysis
Technical Advancement
85 PaLM 2's multilingual capabilities and integration with Google Services and third-party applications demonstrate significant technical advancement.
Adoption Potential
70 The availability of PaLM 2 in different sizes, including one that can run on mobile devices, increases its adoption potential.
Public Impact
60 The integration of PaLM 2 with widely used Google Services can have a considerable public impact.
Innovation/Novelty
75 The training of PaLM 2 in over a hundred languages, including programming languages and mathematics, is a novel approach in the field of AI.
Article Accessibility
65 Access to PaLM 2 through the PaLM API and the visual-based interaction provided by MakerSuite makes it relatively accessible.
Global Impact
80 The multilingual capabilities of PaLM 2 have a high global impact.
Ethical Consideration
50 The article does not discuss any ethical considerations related to the use of PaLM 2.
Collaboration Potential
90 The integration of PaLM 2 with third-party applications indicates high collaboration potential.
Ripple Effect
70 The use of PaLM 2 in various applications, from generating codes to understanding different languages, can have a ripple effect in the AI industry.
Investment Landscape
80 The release of PaLM 2 by a tech giant like Google can significantly affect the AI investment landscape.