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What does it do?

  • Data Visualization
  • Data Structuring
  • Data Insights
  • Collaboration
  • Data Operations
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How is it used?

  • Atlas: Visualize and analyze large datasets via web app or API.
  • GPT4All: Run AI models locally on consumer hardware after download.
  • 1. Explore data w/ Atlas API
  • 2. Collaborate & integrate workflows
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Who is it good for?

  • AI Researchers
  • Machine Learning Engineers
  • Data Scientists
  • Privacy-Conscious Organizations
  • Open-Source Enthusiasts

Details & Features

  • Made By

    Nomic AI
  • Released On

Nomic AI develops tools that make AI systems and their data more accessible and explainable, with their primary products being Atlas and GPT4All.

Key features:

Atlas:
- Structure, visualize, and derive insights from millions of unstructured data points across text, image, and audio modalities
- Supports datasets from hundreds to tens of millions of points
- Enables collaboration for technical and non-technical teams
- Integrates into production workflows with cloud and on-premises hosting options
- Offers vector search, topic modeling, semantic deduplication, and embeddings
- Allows for collaborative labeling, searching, sharing, and filtering of data
- Users can interact with data semantically from their web browser or through the Atlas API

GPT4All:
- Enables running open-source AI models on consumer-grade CPUs and GPUs from various manufacturers
- Supports models like Mistral 7B, LLAMA 2, Nous-Hermes, and more
- Allows for model customization with retrieval-augmented generation
- Runs inference without requiring a GPU or internet connection
- Focuses on privacy-oriented software for running large language models locally

How it works:
Atlas allows users to explore, label, search, and share massive datasets directly from their web browser, supporting various data modalities. GPT4All can be downloaded and installed, with models ranging from 3GB to 8GB in size, and the software ecosystem supports running these models locally on consumer-grade hardware.

Integrations:
Nomic AI's products integrate with tools and platforms like Hugging Face, MongoDB, and others, supporting embedding models and vector search capabilities.

Use of AI:
Atlas utilizes advanced embedding models like Nomic Embed, an open-source, fully auditable text embedding model with an 8192 context size. GPT4All is built on top of models like GPT-J and other large language models, trained using large-scale data distillation from models like GPT-3.5-Turbo.

AI foundation model:
The specific AI foundation models used by Nomic AI are not explicitly mentioned in the provided information.

How to access:
Atlas is available as a web app, API, and Python client. GPT4All is available for download on various operating systems, including Windows, macOS, and Linux.

Nomic AI's tools are ideal for data scientists, machine learning engineers, researchers, and organizations looking to deploy AI models locally for privacy and security reasons. Both Atlas and GPT4All are open-source projects with repositories available on GitHub.

  • Supported ecosystems
    Hugging Face, GitHub, Apple, NVIDIA, AMD, Intel, MongoDB, Windows, Microsoft, macOS, Apple, Linux
  • What does it do?
    Data Visualization, Data Structuring, Data Insights, Collaboration, Data Operations, Model Deployment, Model Customization, Local AI Inference
  • Who is it good for?
    AI Researchers, Machine Learning Engineers, Data Scientists, Privacy-Conscious Organizations, Open-Source Enthusiasts

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