Skip to main content

Official package for Pillar1 company

Project description

Pillar1: AI Solution Implementation Consulting and Product Development

Unlock the Power of AI with Pillar1. We specialize in leveraging the latest advancements in artificial intelligence to transform businesses and drive innovation. Pillar1 assists businesses in implementing AI solutions, achieving their strategic objectives, and unlocking the full potential of artificial intelligence.

Features

  • Automated AI Solutions: Streamlined solutions optimizing workflows and driving efficiency.
  • Private LLM Deployment: Deploy private LLMs with data privacy and seamless integration.
  • AI Strategy Consulting: Informed guidance on AI developments and decision-making.
  • End-to-End AI Architecture: Comprehensive architecture reflecting priorities from data to maintenance.
  • Collaboration with Teams: Empower teams in leveraging AI with support and guidance.
  • AI Product Development: Transform ideas into scalable AI products.
  • Data Analysis & Insights: Extract valuable insights from data-driven analysis.
  • Experienced AI Engineers: Deliver scalable AI products with expertise.

Team

Pierre Arbajian, PhD. Chief AI Architect Pierre is our Senior Data Scientist and Chief AI Architect, bringing a wealth of experience in all things data and AI. He is passionate about studying and tinkering with LLMs, recognizing that AI holds the potential to revolutionize the world, he strives to make Pillar1 a relevant player in helping clients effectively navigate and adopt this transformative technology.

Ayman Hajja, PhD. Chief Technology Officer Ayman serves as our Chief Technology Officer, known for developing and deploying cutting-edge, highly complex solutions. With profound expertise in both theory and practice, Ayman leads implementations with precision and unwavering commitment to quality. He firmly believes in a methodical and careful approach, emphasizing thorough development, testing, and implementation with insightful precision for every project and product.

Yuehua (Zoe) Duan, Ph.D. Senior Data Scientist Zoe serves as our Senior Data Scientist. With a focus on customer retention and satisfaction use cases, Zoe specializes in building cutting-edge recommender systems that mitigate customer attrition. She is versed in the extraction data patterns from large datasets and translating them into actionable recommendations. Zoe is passionate about LLM and data visualization. This fuels her commitment to exploring innovative approaches in LLM and delivering superior data visualizations that communicate complex insights with clarity and impact.

Installation

[Detailed instructions on how to install your package]

Usage

[Instructions on how to use your package with some examples]

Contributing

[Details about how others can contribute to your project]

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pillar1-0.1.9.15.tar.gz (12.4 kB view details)

Uploaded Source

Built Distribution

pillar1-0.1.9.15-py3-none-any.whl (11.4 kB view details)

Uploaded Python 3

File details

Details for the file pillar1-0.1.9.15.tar.gz.

File metadata

  • Download URL: pillar1-0.1.9.15.tar.gz
  • Upload date:
  • Size: 12.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for pillar1-0.1.9.15.tar.gz
Algorithm Hash digest
SHA256 48a4f3f610a3c13578f03df12e0520d27a9a0db8fb2efa50fb59451f63bd4ff5
MD5 d0675510e007ff2d75452a3c5fa307ea
BLAKE2b-256 73c6ba5bb3196c3c14b38e8107b1b0d41d69db2a63b922872c60f2da70d2e120

See more details on using hashes here.

File details

Details for the file pillar1-0.1.9.15-py3-none-any.whl.

File metadata

  • Download URL: pillar1-0.1.9.15-py3-none-any.whl
  • Upload date:
  • Size: 11.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.2

File hashes

Hashes for pillar1-0.1.9.15-py3-none-any.whl
Algorithm Hash digest
SHA256 7a37bd763776085dd1a51ff4e4ec5a9b3d325b7744c00012b9c3a0a83ba900ed
MD5 db44dc0d482efb7ca36f0e1b6c2e8d3c
BLAKE2b-256 4d39aedefdd461dbf52938b7778d1d2faf42f171228ea7864f57f4d4b1784884

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page