Iterative.ai Reviews

1. Ryan Raposo

   | Software Developer at Self-employed | over 3 years ago
   Rare

   The people at iterative.ai are special.

   Its hard to describe quickly, but if you're a potential client or employee--you could easily go your entire career unaware that groups like this exist.

   Their tools (like DVC) are exceptional, but I write this review because one need only interact with the people there to understand why they're execptional.

   The culture there is one that can only exist when the founding talent is top-tier. The experience you'll have, though, is so much more than that.

   Recommend whole-heatedly.

   🏁 Competitors: Git Large File Storage, Make.com, Workflow Management Software

   👍 Pros:    Constantly improving|Quality|Community

Google Cloud Machine Learning Reviews

Iterative.ai mentions (6)

• Work with Google Drive files locally

  PyDrive2 is am open-source python package maintained by the awesome people at Iterative. And it is very easy to install:. - Source: dev.to / over 1 year ago

• Any MLOps platform you use?

  These three are made by Iterative.ai, and seem like very clean implementations of MLOps tooling - especially if you aren't dealing with massive data. https://iterative.ai/. Source: over 1 year ago

• How does your data science team collaborate?

  For what it's worth. (Full disclosure: I'm the community manager at Iterative (DVC,et.al.) Just wanted to make you aware of our online course (free) that we created specifically for Data Scientists (https://learn.iterative.ai). We know that bridging the gap between prototype to production/ jupyter notebook to reproducible/software engineering compatible, is a challenge. That's why we created the course. To also... Source: almost 2 years ago

• Advice about Infra and IaC

  What do you think of iterative.ai tools like dvc or cml? I have no direct experience, but I am looking at setting up something similar to what you need for a personal project. Source: almost 2 years ago

• TPI - Terraform provider for ML/AI & self-recovering spot-instances

  Hey all, we (at iterative.ai) are launching TPI - Terraform Provider Iterative https://github.com/iterative/terraform-provider-iterative. Source: about 2 years ago

Google Cloud Machine Learning mentions (21)

• Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author

  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 / 4 months ago

• Let's build your first ML app in Google Cloud Run

  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

• Google Gemini Pro API Available Through AI Studio

  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 / 6 months ago

• Google Imagen 2

  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 / 6 months ago

• Introducing Gemini: our largest and most capable AI model

  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