#425 Issue
Nov. 18, 2024
Tag: Gemini
Gemini LLM Official Blog Vertex AI Nov. 18, 2024Use AI to build AI: Save time on prompt design with AI-powered prompt writing - Vertex AI introduces AI-powered prompt writing tools to streamline prompt engineering for generative AI models. The Generate prompt feature creates comprehensive prompts from simple objectives, while the Refine prompt feature provides AI-powered suggestions for prompt improvement based on user feedback.
Gemini Generative AI Nov. 18, 2024Build GenAI Prototypes with Streamlit - Build GenAI prototypes quickly and easily with Streamlit, a simple Python GUI framework. Integrate with Generative AI APIs like Gemini to generate text, images, and code. Customize your prototypes with features like PDF upload and more. Share your prototypes with colleagues or leadership to demonstrate your GenAI ideas.
AI Gemini Nov. 11, 2024Chrome Built-in AI Experiments: Code Explanation Chrome Extension - This blog post explores the use of Chrome Built-in AI to build a Chrome extension that explains code selected on a web page. The extension utilizes the experimental Prompt API to generate explanations in bullet points.
AI Gemini Nov. 4, 2024AI Quick Build : AI-Powered game-show experience with Gemini and Imagen - AI Quick Build is a game-show experience powered by Google's Gemini and Imagen. Contestants build toy brick creations while a Gemini-powered AI commentator provides real-time analysis and commentary. After the building time ends, Gemini Pro analyzes the creations and announces the winner with detailed reasoning. Imagen then generates a dynamic background for the winning creation, bringing it to life.
Gemini GitHub LLM Official Blog Nov. 4, 2024Gemini models are coming to GitHub Copilot - GitHub Copilot, a popular AI coding assistant, is partnering with Google Cloud to bring Gemini models to its platform. Developers will soon be able to use Gemini 1.5 Pro, which excels in code generation, analysis, and optimization, within GitHub Copilot.
Gemini Official Blog Partners Vertex AI Nov. 4, 2024Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI - Arize AI and Vertex AI API for Gemini offer a powerful solution for optimizing and safeguarding generative applications. By leveraging Arize’s observability and evaluation platform and Google’s advanced LLM capabilities, AI teams can streamline development, enhance application performance, and ensure reliability from development to deployment.
Gemini Generative AI Oct. 28, 2024Tutorial : Multi-Agent interactions with Autogen and Gemini — Part 7: Sequential Chat - This article introduces a conversation design pattern called Sequential Chat, which allows for a sequence of conversations between multiple agents.
Gemini Generative AI Oct. 28, 2024Tutorial : Multi-Agent interactions with Autogen and Gemini — Part 8: Group Chat - This tutorial explores "Group Chat," a conversation involving more than two agents using Autogen and Gemini.
Firebase Gemini Vertex AI Oct. 28, 2024Orchestrating Firebase and AI: 8 Genkit Architecture Patterns - Genkit is a code-first framework for orchestrating, deploying, and monitoring workflows involving generative AI. This article focuses on Genkit's orchestration aspect, showcasing how it acts as the conductor of Firebase, orchestrating different architecture patterns.
Chronicle Gemini Oct. 28, 2024Creating an Entity Explorer Widget in Chronicle SOAR with Gemini Code Assist - In this post, I explore using Gemini Code Assist to create a custom Entity Explorer Action and HTML widget in Chronicle SOAR.
Gemini Generative AI Oct. 14, 2024Tutorial : Multi-Agent interactions with Autogen and Gemini — Part 3: Introducing Manual Human Intervention - This part is a continuation of exploring the basics of getting Multi-Agent conversations using the Autogen framework.
Cloud Firestore Cloud Run Gemini Generative AI Vertex AI Oct. 14, 2024Deploying a Generative AI application with vector store to Cloud Run - This blog post describes how to build and deploy a Generative AI application using Firestore, Vertex AI, and Cloud Run.
Gemini Official Blog Oct. 14, 2024Introducing AI-powered app dev with code customization from Gemini Code Assist Enterprise - Google Cloud introduces Gemini Code Assist Enterprise, an AI-powered application development solution that provides contextual suggestions, enterprise-grade security, and integrations across the cloud. It offers deep local codebase awareness, code customization based on an organization's best practices, and is available in various Google Cloud services like Firebase, Databases, and BigQuery.
Gemini Generative AI Oct. 14, 2024Tutorial : Multi-Agent interactions with Autogen and Gemini — Part 4: Using local LLMs - In this tutorial, we demonstrate how to use the Autogen framework to create multi-agent interactions with local Language Large Models (LLMs) using Ollama. The code is modified to use the local LLM list instead of the Google Gemini list. This allows developers to run LLMs locally and integrate them into their Autogen applications.
Gemini Oct. 14, 2024Getting the most out of Gemini Code Assist - Explore advanced techniques, features, and tools to maximize the utility you get from Gemini Code Assist and to feed your curiosity.
AI Gemini Oct. 7, 2024Build your own Google Cloud Expert from scratch - Want to build an AI assistant which deeply understands Google Cloud and runs on Google Cloud?
Data Analytics Gemini Looker Official Blog Sept. 30, 2024AI-powered visualization and LookML assistants debut for Gemini in Looker - Gemini in Looker, a business intelligence tool, introduces two new AI-powered features: LookML Assistant and Visualization Assistant. LookML Assistant simplifies LookML code creation, while Visualization Assistant allows users to customize visualizations using natural language. These innovations enhance data analysis and collaboration within organizations.
Gemini Official Blog Vertex AI Sept. 30, 2024Moving from experimentation into production with Gemini models and Vertex AI - Google Cloud announces updates to its Gemini and Imagen models, along with new capabilities in Vertex AI, to help enterprises move from AI experimentation to production. Gemini 1.5 Pro and Flash models receive quality improvements and reduced costs, while Imagen 3 offers enhanced prompt understanding, photorealistic quality, and safety features.
GCP Experience Gemini Official Blog Sept. 30, 2024Customers are putting Gemini to work - Google Cloud customers are showcasing nearly 50 success stories highlighting the impact of generative AI when put to work at scale.
AI Gemini Official Blog Sept. 30, 2024Introducing Customer Engagement Suite with Google AI - Customer Engagement Suite with Google AI combines conversational AI products with contact center functionality and the latest Gemini 1.5 Flash model to deliver exceptional customer experiences across web, mobile, voice, email, and apps. It supports multimodal information, including text, voice, and images, and provides a unique combination of strict controls with natural language instructions alongside adaptive generative AI.
Gemini Vertex AI Sept. 30, 2024Enhancing LLMs with function calling: A Gemini case study - This blog post explores how to enhance Google's Gemini Large Language Model (LLM) with function calling using the Vertex AI SDK. By leveraging the ReAct (Reasoning and Acting) pattern, Gemini can interact with external systems for precise calculations and complex string manipulations.
Gemini Generative AI Machine Learning Sept. 23, 2024Architecting GenAI applications with Google Cloud - Architecting GenAI applications with Google Cloud involves selecting the appropriate application hosting infrastructure, such as Cloud Run or GKE, and choosing a model hosting option like Vertex AI or GKE. It also includes selecting the right model from Vertex AI's Model Garden, considering factors like task, dataset size, and budget. Additionally, grounding solutions like retrieval-augmented generation (RAG) can be implemented using vector databases to ensure informed and accurate model responses.
Data Analytics Gemini Looker Official Blog Sept. 23, 2024Chat with your business data - Conversational Analytics comes to Gemini in Looker - Conversational Analytics, a new feature in Looker, allows users to ask questions of their data in natural language and receive insights powered by AI. It connects to BigQuery and Google Sheets, enabling users to directly ask questions of their data stored in these locations.
Event Gemini Official Blog Workspace Sept. 23, 2024Join us for Gemini at Work - Join us for Gemini at Work, our first digital event dedicated to showcasing the transformative power of AI in the workplace. Learn how Gemini can help your business at our digital event on September 24 at 9am PT.
Gemini LLM Official Blog Sept. 16, 2024Test it out: an online shopping demo experience with Gemini and RAG - An online shopping demo showcases how Gemini, a large language model, can enhance the shopping experience by providing personalized recommendations. Retrieval-Augmented Generation (RAG) improves the accuracy of Gemini's responses by incorporating relevant data from an external database, ensuring that recommendations are based on actual products in the store's inventory.
Gemini Generative AI Official Blog Sept. 16, 2024The AI detective: The Needle in a Haystack test and how Gemini 1.5 Pro solves it - The Needle in the Haystack test challenges AI models to retrieve specific information from large amounts of data. Google's Gemini 1.5 Pro excels in this test, demonstrating near-perfect recall of information within vast contexts of text, video, and audio. With its advanced architecture, multimodal capabilities, and innovative training techniques, Gemini 1.5 Pro pushes the boundaries of AI's ability to understand and engage in meaningful conversations.
BigQuery Gemini Generative AI Machine Learning Vertex AI Sept. 9, 2024Getting Ice Cream Recommendations at Scale with Gemini, Embeddings, and Vector Search - This blog post demonstrates how to build a scalable recommendation system for ice cream products using Gemini, a multimodal foundation model from Google. It leverages text embeddings and vector search within BigQuery to find similar products based on their descriptions and review summaries. The resulting recommendations are presented in an interactive Looker Studio dashboard, allowing users to explore and discover new ice cream flavors and combinations.
Gemini Generative AI Machine Learning Sept. 2, 2024Gemini’s Power for Tourism Apps: A Function Calling Tutorial - In this tutorial, we will create a Tourism web app where users can query the weather for future days in a specific location.
Gemini Machine Learning Vertex AI Sept. 2, 2024Level up your codebase with Gemini’s long context window in Vertex AI - Gemini, a Generative AI model with a 2 million token context window, can help developers understand and work with unfamiliar codebases. By packaging all source code into a single prompt, developers can ask questions about the code, such as summarizing its content or implementing a feature request.
BigQuery Data Analytics Gemini Official Blog Sept. 2, 2024Get started with the new generally available features of Gemini in BigQuery - Gemini in BigQuery, now generally available, brings AI-powered experiences to enhance data discovery, preparation, analysis, and insight generation. Features include SQL and Python code generation with natural language prompts, explanations for complex queries, a data canvas for intuitive exploration, data insights with pre-validated queries, and recommendations for partitioning and clustering to optimize performance.
Billing FinOps Gemini Vertex AI Vertex AI Agent Builder Sept. 2, 2024Decoding the Price Tag: Estimating Google Gemini AI Costs - Navigate the complexities of Google Gemini AI pricing and make informed decisions for your business.
Gemini LLM Aug. 26, 2024Semantic Kernel and Gemini - Semantic Kernel is an open-source development kit from Microsoft that lets you easily build AI agents and integrate the latest AI models into your applications. This blog post demonstrates how to use Semantic Kernel to build a chat application with Gemini.
Gemini Official Blog Security Aug. 19, 2024Experimenting with Gemini 1.5 Pro and vulnerability detection - Google Cloud's experiment with Gemini 1.5 Pro explores the potential of generative AI in code vulnerability detection and remediation. By leveraging Gemini's extended context window, the approach aims to efficiently scan large codebases, analyze multiple files, and identify vulnerabilities beyond surface-level flaws.
Gemini Generative AI Aug. 12, 2024Deep dive into function calling in Gemini - Function calling in Gemini allows you to augment language models with real-time data from external APIs. You can define custom functions and the model can delegate tasks to these functions. This enables the model to complete its response to the user's prompt with up-to-date information.
Gemini Generative AI Java LLM Aug. 5, 2024Sentiment analysis with few-shot prompting - This article explores sentiment analysis using few-shot prompting with Gemini and LangChain4j. It demonstrates three approaches: using a big string of inputs/outputs, a low-level list of messages, and an AiServices abstraction.
Gemini Machine Learning VS Code Aug. 5, 2024Gemini Code Assist - Gemini Code Assist, a new AI-powered extension for popular IDEs like Visual Studio Code and IntelliJ IDEA, aims to revolutionize software development by assisting engineers with various tasks. It leverages advanced features like context-aware prompting, license attribution, code customizations, and full codebase awareness to provide high-quality code suggestions and make coding faster and more efficient.
Gemini LLM Vertex AI Aug. 5, 2024Beyond temperature: Tuning LLM output with top-k and top-p - What are top-k and top-p? What do they mean, how do they work, and how can they be tuned?
AI Gemini Official Blog Aug. 5, 2024New strides in making AI accessible for every enterprise - Google Cloud's Gemini 1.5 update brings significant cost reductions, with input costs slashed by up to 85% and output costs by up to 80%. Additionally, Gemini 1.5 Flash and Pro now support over 100 languages, enabling global users to interact in their native tongues. Provisioned Throughput in Vertex AI, coupled with a 99.5% uptime SLA, ensures predictable performance for enterprise-scale AI applications.
BigQuery Data Analytics Gemini Official Blog Aug. 5, 2024Google Cloud announces new data analytics innovations to help fuel customers’ AI use cases - New data analytics innovations include Gemini in BigQuery for AI-powered experiences, Gemini in Looker for conversational analytics, a unified data platform with support for open formats and streaming, and simplified data processing and streaming with Apache Spark and Apache Kafka.
AI BigQuery Data Analytics Gemini Official Blog Aug. 5, 2024Understanding new Gemini model inference, tuning, grounding and safety settings in BigQuery - BigQuery now supports the latest Gemini models, including Gemini 1.5 Pro and Gemini 1.5 Flash, enabling users to analyze text, images, audio, and PDF files from a single model. Grounding with Google search and customizable safety settings ensure responsible AI responses, while support for Gemini 1.0 model tuning and evaluation allows further customization of AI capabilities.
Gemini Java July 29, 2024Analyzing video, audio and PDF files with Gemini and LangChain4j - Gemini, a multimodal language model, can now process audio, video, and PDF files in addition to text. With LangChain4j, developers can use Gemini to generate transcriptions, summaries, and chapters for audio and video files, as well as answer questions about PDF documents.
Gemini LLM Machine Learning July 22, 2024Is a Zero Temperature Deterministic? - Learn more about a crucial LLM model parameter, and how to configure it on Gemini Pro with Vertex AI.
Data Analytics Gemini Looker Official Blog July 22, 2024AI-powered slide generation and formula assistant come to Gemini in Looker - Gemini in Looker, a business intelligence tool, introduces two new features: automated Google Slides generation and an AI-powered formula assistant. With Google Slides generation, users can create presentations with insightful chart summaries from Looker Studio Pro in seconds.
Gemini Official Blog Threat Intelligence July 22, 2024Scaling Up Malware Analysis with Gemini 1.5 Flash - Google's Gemini 1.5 Flash model, designed for large-scale malware analysis, processes up to 1,000 requests per minute and 4 million tokens per minute. It analyzes decompiled binaries, providing accurate summary reports in human-readable language.
Gemini Official Blog Security Threat Intelligence July 22, 2024AI-Powered Learning: Your NIST NICE Prompt Library (Built with Google Gemini) - The NIST NICE framework provides a roadmap for cybersecurity education and workforce development. It maps roles to specific tasks, knowledge, and skills (TKSs) necessary for successful responsibilities. AI-powered prompts can help you navigate this roadmap and accelerate your mastery of the essential competencies outlined in the NICE framework.
BigQuery Gemini Machine Learning July 15, 2024From GenAI Demo to Production Scale — Handling high-throughput use cases. - Google Cloud offers options for handling high-throughput use cases with Generative AI (GenAI). Two key options are explored: Vertex AI BATCH API and BigQuery ML.GENERATE_TEXT. Both provide cost benefits compared to real-time interactions, with BATCH API being more suitable for very large datasets.
Gemini July 15, 2024How To Run Gemini Nano Locally Using Google Chrome? - On-device Gemini Nano is now available on Chrome Canary.
Gemini Machine Learning Vertex AI July 15, 2024Enhancing Vector Search with Gemini as Multimodal Re-Ranker - Why Vertex AI Vector Search and Gemini’s Multimodal Capabilities are a Perfect Match.
Gemini Machine Learning Paywall Vertex AI July 15, 2024Learning to Build a Gemini-Powered Serverless App, from the perspective of an application developer - Can you be an application developer while surviving in this new world around AI? Yes you can, by honing your abilities to Build With AI!
Gemini Generative AI Vertex AI July 8, 2024Vertex AI Context Caching with Gemini - Use caching to make your Gemini input up to 4 times cheaper.
Gemini Machine Learning Python Vertex AI July 8, 2024Counting Gemini text tokens locally - The Vertex AI SDK for Python now offers local tokenization to calculate the number of tokens in your text input.
AI Gemini Generative AI July 1, 2024How to: Build a Chat Web Application with Streamlit, Cloud Run and Gemini Flash - In this post, we’ll explore how to create a basic chat application using Gemini Flash, which is a powerful multimodal AI model from Google.
Gemini Generative AI Paywall Vertex AI July 1, 2024Vertex AI Controlled Generation with Gemini - Respond reliably with JSON and other formats.
Gemini LLM Python July 1, 2024How to prompt Gemini asynchronously using Python on Google Cloud - How to send all your prompts at the same time and collect the answers, rather than sending them one by one, using Python.
Gemini Machine Learning July 1, 2024Practical Guide: Using Gemini Context Caching with Large Codebases - Google has introduced Gemini context caching for Vertex AI and Google AI Studio users, allowing users to cache large and intricate datasets, including legal documents, medical records, long videos, images, and audio files. This significantly reduces costs and enhances user experience by eliminating the need to repeatedly send this content whenever a question is asked.
AI Gemini Official Blog July 1, 2024Making Vertex AI the most enterprise-ready generative AI platform - Google Cloud's Vertex AI platform offers enterprise-ready generative AI capabilities. It features models like Gemini 1.5 Flash with a 1 million-token context window, providing low latency and cost-effectiveness. Gemini 1.5 Pro boasts a 2 million-token context window, enabling unique multimodal use cases. Imagen 3, Google's latest image generation model, delivers faster generation, improved prompt comprehension, and photo-realistic images. Vertex AI also supports third-party models like Anthropic's Claude 3.5 Sonnet and open models like Gemma 2. Context caching and provisioned throughput ensure efficient and predictable performance.
BigQuery Gemini July 1, 2024BigQuery and Gemini: The Catalyst for Scaling Generative AI Skills - BigQuery and Gemini for Call Center Audio Analysis.
Cloud Run Gemini Vertex AI June 24, 2024From notebook to Cloud Run service in 10 minutes: applied to Gemini Function Calling - What if you see some code you really like in a Jupyter notebook? And you want to turn it into an app? Let’s learn how in this blog post.
BigQuery Gemini Generative AI Vertex AI June 24, 2024Automating Insights and Dashboard Report-Level Narratives using Vertex AI Gemini 1.5-Flash - This blog post explores how to automate insights and dashboard report-level narratives using Vertex AI Gemini 1.5-Flash LLM, Looker Studio, and Google BigQuery BQML. By leveraging these tools, businesses can streamline the process of extracting, analyzing, and presenting data, reducing the time it takes to understand and respond to changes in the business environment.
Gemini Vertex AI June 17, 2024Multimodality with Gemini-1.5-Flash: Technical Details and Use Cases - Gemini 1.5 Flash, a new addition to the Gemini family of large language models, is designed for speed, efficiency, and cost-effectiveness in high-volume tasks. Gemini 1.5 Flash offers several key features, including faster inference speed, cost-effectiveness, a long context window of one million tokens, and multimodal reasoning capabilities. It demonstrates impressive performance gains over previous Gemini models while maintaining high levels of performance even as its context window increases.
BigQuery Data Analytics Gemini Official Blog June 10, 2024Hands on with Gemini models in BigQuery: Decoding sentiment in customer reviews - Gemini, Google's most advanced multimodal model, can be used in BigQuery for sentiment analysis of customer reviews. With ML.GENERATE_TEXT function, you can directly utilize powerful large language models from Vertex AI within your SQL queries to analyze text in a BigQuery table. This allows you to perform sophisticated text generation and analysis tasks on data stored in BigQuery without needing to move data or write complex code outside the BigQuery environment. You can also identify recurring themes in the reviews using techniques like topic modeling and keyword extraction.
Gemini Generative AI Machine Learning June 3, 2024A Tale of Two Functions : Function calling in Gemini - Gemini, a large language model, introduces a new feature called "Function calling." This feature allows users to integrate their own functions or APIs with the model, enabling it to provide more specific and accurate responses to queries. The model can determine which functions to call based on the user's prompt and can even make multiple function calls in parallel. This opens up new possibilities for building powerful applications that combine the strengths of natural language processing with custom business logic.
Gemini Generative AI Java June 3, 2024Grounding Gemini with Web Search results in LangChain4j - The latest release of LangChain4j (version 0.31) added the capability of grounding large language models with results from web searches. This allows the LLM to find relevant information about the query from web searches, which will likely include up-to-date information that the model won’t have seen during its training. The article provides a step-by-step guide on how to implement this feature using Google Custom Search Engine and Gemini 1.5 Flash model. The author also discusses some limitations and potential improvements of this approach.
BigQuery Gemini LLM May 27, 2024Unlocking Multimodal AI with Google Gemini, Embeddings, Vertex Search, and RAG: A Practical Guide with BigQuery - Google's latest AI innovations, including Gemini, embeddings, Vertex Search, and Retrieval Augmented Generation (RAG), are revolutionizing how we interact with and extract insights from data. By leveraging these concepts with BigQuery, users can unlock powerful AI capabilities such as image tagging, vector search, and retrieval augmented generation. This enables enhanced image discovery, improved user experience, efficient scalability, and the generation of creative ideas and insights. The combination of these technologies opens up a world of possibilities for building recommendation systems, question-answering bots, and interactive multimodal experiences.
Duet AI Gemini May 27, 2024Getting Started with Gemini Code Assist - Google Cloud’s always-on Coding Assistant.
GCP Experience Gemini Official Blog Partners May 20, 2024How Mantle uses Gemini to simplify equity management
Gemini Official Blog Vertex AI May 20, 2024Vertex AI at I/O: Bringing new Gemini and Gemma models to Google Cloud customers - Vertex AI updates from Google I/O ‘24.
BigQuery Gemini Official Blog May 20, 2024Creating marketing campaigns using BigQuery and Gemini models - In this blog, we will go through the various steps of how data and marketing teams can harness the power of multimodal large language models (LLMs) in BigQuery to create and launch more effective and intelligent marketing campaigns.
AlloyDB Gemini May 20, 2024Gemma and Gemini-Pro AI Models in AlloyDB Omni - This blog post explains how to integrate AlloyDB Omni with Vertex AI and make predictions using Google Gemini.
Gemini May 13, 2024A tour of Gemini 1.5 Pro samples - Samples in various programming languages that are utilizing Gemini 1.5 Pro.
BigQuery Gemini May 6, 2024Unlocking the Power of Gemini in BigQuery - A Guide for SQL Code AI Assistance.
BigQuery Gemini LLM Official Blog May 6, 2024Simplifying data modeling and schema generation in BigQuery using multi-modal LLMs - Now you can pass multi-modal input to Gemini to create data models for your data warehouse.
AI Gemini Official Blog Workflows May 6, 2024Long document summarization with Workflows and Gemini models - This blog post illustrates how Workflows can perform long-document summarization.
BigQuery Data Science Gemini Generative AI May 6, 2024When to use Gemini or purpose-built AI models in BigQuery - This post provides some high-level guidance to consider when determining whether Gemini foundation models or purpose-built AI models are a better fit for your workload’s requirements.
Gemini Generative AI Monitoring April 29, 2024Using Gemini to help write Synthetic Monitoring tests in Google Cloud - This article describes how to use Synthetic Monitoring with Google Cloud Console and Cloud Run and use Generative AI to write the test code for Synthetic Monitoring.
Gemini Generative AI LLM April 29, 2024Gemini has entered the chat: building an LLM-powered Discord bot - Take your first steps into the world of Generative AI by building a Discord bot that uses Gemini to talk with other users.
BigQuery Gemini Generative AI April 22, 2024Master Data Management Simplified: Match & Merge with Generative AI! - Accelerating tedious Master Data Management processes with Generative AI, Embeddings, and Vector Search.
AI BigQuery Gemini April 22, 2024Generate Data Insights in No Time using AI - Build an AI app using Langchain to Analyze Data for your company.
BigQuery Gemini Official Blog April 15, 2024How Gemini in BigQuery accelerates data and analytics workflows with AI
BigQuery Gemini Official Blog April 15, 2024Analyze images and videos in BigQuery using Gemini 1.0 Pro Vision
API Gemini Official Blog April 15, 2024Using Gemini Code Assist to build APIs, integrations, and automation flows
Gemini Official Blog April 15, 2024Gemini in Databases — supercharge database development and management
Database Migration Service Gemini Official Blog April 15, 2024Accelerating database modernization with Gemini in Database Migration Service
Gemini Looker Official Blog April 15, 2024Introducing Gemini in Looker to bring intelligent AI-powered BI to everyone
Gemini Official Blog April 15, 2024Powering Google Cloud with Gemini
Gemini Generative AI Official Blog Vertex AI April 15, 2024Google Cloud announces updates to Gemini, Imagen, Gemma and MLOps on Vertex AI
BigQuery Gemini Machine Learning April 8, 2024How to Augment Text Data with Gemini through BigQuery DataFrames - Data augmentation is a technique used in machine learning to increase the size of a dataset by creating new data out of existing data.
Gemini Generative AI Java April 8, 2024Deterministic Generative AI with Gemini Function Calling in Java - Gemini's Function Calling blends the flexibility of generative AI with the precision of traditional programming. This allows for controlled and predictable outputs, as demonstrated in the Java Cloud Function that standardizes addresses using Gemini and an external API.
Dialogflow Gemini Generative AI Machine Learning April 8, 2024Create multimodal conversational experiences with Google Cloud Dialogflow CX and Gemini Vision - Boosting your digital assistant by analyzing images with Gemini Vision.
AI Gemini LLM Python April 1, 2024Crafting Bespoke Output Formats with Gemini API - Propose a method using question phrasing and API calls to craft a bespoke output, enabling seamless integration with user applications.
BigQuery Gemini Official Blog Vertex AI March 18, 2024Dive deeper into Gemini with BigQuery and Vertex AI - In this blog we will dive deeper into some of the recent innovations for Vertex AI and BigQuery and show you how to use Gemini 1.0 Pro in BigQuery.
Dialogflow Gemini Google Kubernetes Engine March 11, 2024Deploying a Gemini Chatbot with Memory on a GKE Backend and Dialogflow
Gemini Vertex AI March 4, 2024Vertex AI Gemini generateContent (non-streaming) API - Using generateContent Vertex AI REST API (non-streaming) to generate content.
Duet AI Gemini March 4, 2024Using Duet AI to generate a Starter App from an OpenAPI Specification - Using Duet AI for Developers to generate an OpenAPI Specification and then use that to generate a starter application.
AI Gemini Machine Learning Feb. 26, 2024Leveraging Gemini for PII Detection in BigQuery: An Experiment - Step-by-step sample code on an experiment using Google Gemini Pro 1.0.
Gemini Go Machine Learning Jan. 29, 2024Pixel guessing : using Gemini Pro Vision with Go - Let’s have fun with the vision powers of AI!
BigQuery Gemini Machine Learning Jan. 22, 2024Analyzing images with Gemini Pro Vision and BigQuery - Learn how to access the Gemini models from BigQuery to analyze your big data, including images.
Gemini Generative AI Machine Learning Vertex AI Jan. 15, 2024Gemini, the stylist… - A personalized haircut recommendation Application.
Gemini Generative AI Workspace Jan. 15, 2024Empowering Your Organisation with AI: Integrating Gemini Pro and PaLM2 into Google Sheets - A Comprehensive Guide to Using Gemini Pro and PaLM2 in Google Sheet on thousands of cells.
Gemini Generative AI Machine Learning VS Code Dec. 25, 2023Getting Started with Gemini AI API via Google Cloud Code Application Templates - Testing Gemini API via an Application Template in VS Code.
Gemini Java Vertex AI Dec. 25, 2023Gemini Function Calling - A promising feature of the Gemini large language model released recently by Google DeepMind, is the support for function calls. It’s a way to supplement the model, by letting it know external functions or APIs can be called.
Gemini Official Blog Dec. 18, 2023Bringing Gemini to organizations everywhere - Today, we are introducing a number of important new capabilities across our AI stack in support of Gemini, our most capable and general model yet.
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