Google is jostling with its AI rivals by releasing a big language model API and other developer tools.
Google Cloud has opened some of its AI-powered apps to Developers on Tuesday, showcasing the Pathways Language Model, or PaLM, API for Language Models and the Makersuite prototyping tool it contains. Developer tools go hand-in-hand with Google’s new AI productivity tools in Google Workspace, which are currently in testing. Productivity AI can draft emails, job descriptions, or other business documents on demand. For developers, there are a few new ways to get your hands on these tools.
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Google opens a gateway to the PaLM API
PaLM is a great language model capable of responding to natural sonic prompts and returning meaningful prose; the PaLM API allows developers to build on it. In particular, developers can experience insider models optimized for multi-turn use cases such as content generation and chat or more general models for summarization, classification, and other tasks.
Google said in a blog post about the news that an “efficient model…in terms of size and capabilities” is available, with larger sizes expected “soon”. This efficient model is only available to select developers in the private preview at this time, with a waiting list for other interested parties expected to open shortly.
What is Makersuite by Google?
Makersuite is a low-code tool within the API that helps developers prototype ideas. Google plans to add features for rapid engineering, synthetic data generation, and custom model tuning in the future.
It’s also a way for business owners to experiment with possible use cases or tailor the API to their needs. Once complete, developers can export their prompt to popular languages and frameworks, including Python and Node.js.
Google wants to make sure developers can do a lot of work without leaving the tool.
Google’s Scott Huffman, vice president of engineering and Josh Woodward, senior director of product management, written in a blog post“We learned a lot about generative AI development workflows and how they are fragmented. Developers need to use different tools to accomplish tasks such as creating and iterating a prompt, generating synthetic data, and setting a custom pattern.
Additionally, Google emphasized that the API and tool are built in accordance with its AI security standards. Training data accumulated while using the API by developers other than Google will not be fed back into the grand language model and will remain confidential to the company using it.
Other AI tools for Google Cloud enterprise customers
Google continues to try to hold on to the AI natural language chat space currently dominated by Microsoft And Open AI. Several new AI features for enterprise cloud customers are on the way, Google announced on Tuesday.
Generative AI App Builder is a tool designed to build apps that use conversational AI for all user needs, connecting directly to Google’s out-of-the-box search capabilities and core models.
Google Cloud’s Vertex AI platform, which enterprises can use to build and deploy machine learning models and AI applications at scale, now has access to basic models. This means that enterprise customers can discover patterns, create and modify prompts, and refine those prompts with data from their own enterprises. For now, Vertex AI can create text and images; Google expects video and audio to follow.
