Learn how to use PaLM API and MakerSuite, two powerful tools from Google, to train ML models on your data by using different algorithms. Find out how they compare to other generative AI tools.
Table of Contents
Question
Which of the following tools can be used to help developers train ML models on their data by using different algorithms?
A. Generative AI App Builder
B. PaLM API with MakerSuite
C. Bard
D. Generative AI Studio
Answer
B. PaLM API with MakerSuite
Explanation
PaLM API is a developer offering from Google that allows access to large language models, such as PaLM 2, that can generate text, code, and other content based on natural language input. MakerSuite is a tool that simplifies the workflow of generative AI development, enabling developers to craft prompts, generate synthetic data, and tune custom models using the PaLM API. Together, these tools can help developers train ML models on their data by using different algorithms, such as retrieval augmented generation (RAG) and prompt crafting.
Generative AI App Builder is a tool from Google Cloud that helps developers create generative AI applications using Google’s foundation models, search expertise, and conversational AI technologies. It does not provide the option to train ML models on custom data or use different algorithms.
Bard is an experimental chatbot from Google that uses generative AI to help users with various tasks, such as brainstorming, learning, and summarizing. It is not a tool for training ML models on custom data or using different algorithms.
Generative AI Studio is a product from Google Cloud that helps developers and data scientists interact with, tune, and deploy foundation models. It provides a range of capabilities, such as a chat interface, prompt design, prompt tuning, and fine-tuning. However, it is not a tool for using different algorithms, as it only supports fine-tuning.
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