PaLM Integrations

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.

TextFX is an AI experiment that uses Google's PaLM 2 large language model. These 10 tools are designed to expand the writing process by generating creative possibilities with text and language. TextFX consists of 10 tools, each designed to explore creative possibilities with text and language. We built TextFX as an experiment to demonstrate how generative language technologies can empower the creativity and workflows of artists and creators. This app is also an example of how you can use the PaLM API to build applications that leverage Google's next-generation large language models (LLMs). Google Lab Sessions is an ongoing series of collaborations between our latest AI technology and visionaries from all realms of human endeavor, from artists to academics, scientists to scientists, creators to entrepreneurs, and more. The PaLM API is an entry point to Google's large language models, and it enables developers to build AI-powered applications for a variety of use cases.

WrangleAI is an enterprise-grade platform that gives organizations visibility, control, and governance over their AI usage and spending. It acts as a “control plane” for generative-AI tools (like GPT-4, Claude, Gemini, and more), providing real-time usage tracking across providers, cost intelligence, infrastructure monitoring, and spend caps so companies can avoid runaway budgets. WrangleAI offers AI observability, helping teams understand which models are being used, by whom, and for what purposes, plus routing intelligence that can redirect workloads to more cost-effective models while maintaining output quality. It also includes governance features such as role-based access control and compliance support (e.g., for SOC 2 / ISO 27001 standards), enabling finance, engineering, and leadership teams to coordinate, enforce policies, and get actionable recommendations for optimizing AI spending and usage.

MakerSuite is a tool that simplifies this workflow. With MakerSuite, you’ll be able to iterate on prompts, augment your dataset with synthetic data, and easily tune custom models. When you’re ready to move to code, MakerSuite will let you export your prompt as code in your favorite languages and frameworks, like Python and Node.js.

Create the bot you need, such as a translation expert, SEO expert, virtual girlfriend, and more. In the future, anyone will be able to share the AI bots they create with others, and even sell their own creations. In the future, you will be able to submit any webpage to AI for them to provide answers based on the webpage content. We are soon launching a browser extension version where you can have AI answer for you on any webpage. In the future, you can choose any AI Bot you wish to converse with. Our AI can converse with you in dozens of languages. No matter which country you're in or which language you speak, you can easily use ChatGOT. Your conversation history will be encrypted and stored. We will not share this data with anyone, and you can delete any data at any time.