Meet random people from your organization for a coffee with macarons or for a quick video call. Get to know your colleagues better and maybe even make new (work) friends.
🧁 Quick and Easy
Just add the Macarons app to a Slack channel and it will automatically pair off random members for (virtual) coffees.
🎰 Control the Odds
For each channel you can control how often and when chat lotteries happen, as well as how many people should be matched together.
🧊 Ice Breakers
Let Macarons get conversations started with predefined ice breakers or set your own custom topics for each round.
🏖 Take a skip day
Independent of a channels meeting interval, each user can always individually pause their participation or decide to only take part every other time.
No Google Cloud Machine Learning videos yet. You could help us improve this page by suggesting one.
Based on our record, Google Cloud Machine Learning seems to be a lot more popular than Macarons. While we know about 21 links to Google Cloud Machine Learning, we've tracked only 1 mention of Macarons. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
It took us a few months (I think it was 4) but now we released Macarons. After adding Macarons to the workspace you have to invite it to a channel and then can configure how often people of that channel are matched. Additionally you can specify how big the match groups should be and everyone participating can adjust their participation rate. That's basically it. Since Macarons is not over-boarded with features we... Source: almost 2 years ago
2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 3 months ago
Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 5 months ago
Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 5 months ago
For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 5 months ago
Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 6 months ago
Donut Slack Bot - Get matched with a new coffee buddy each week in Slack
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Catchup Rocks - Virtual coffee / watercooler chats for Slack.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Snack Slack Bot - We organize spontaneous, time-restricted video conversations with ice-breakers. Distributed teams use Snack to build authentic relationships, promote collaboration and share knowledge within Slack.
OpenCV - OpenCV is the world's biggest computer vision library