#408 Issue
July 22, 2024
Tag: Gemini
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.
Useful Links
Contact
Třebanická 183
Prague, Czech Republic
Phone: +420 777 283 075
Email: [email protected]