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@jacobmarks
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🏗️
Building

Jacob Marks jacobmarks

🏗️
Building
ML @ Liquid AI | ex-Google X, Voxel51 | PhD in Theoretical Physics @ Stanford

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jacobmarks/README.md

I'm Jacob, a Member of Technical Staff atLiquid AI!

🎓 Education

  • Ph.D. in Theoretical Physics, Stanford University
  • B.S. in Intensive Physics, Math & Philosophy, Yale University

📝 Blogging & Writing

I regularly contribute to technical topics onMedium, where I have over 8,000 followers. My writings cover AI, ML, computer vision, data cleaning and curation, and more!

See popular articles
How I Turned My Company's Docs into a Searchable Database with OpenAIHow I Turned My Company's Docs into a Searchable Database with OpenAI
April 25, 2023 |Towards Data Science
In this article, I discuss how I leveraged OpenAI's GPT-3 to turn my company's documentation into a searchable database. This project simplifies the way we access and interact with internal resources, enhancing productivity.
How I Turned ChatGPT into an SQL-Like Translator for Image and Video DatasetsHow I Turned ChatGPT into an SQL-Like Translator for Image and Video Datasets
June 08, 2023 |Towards Data Science
In this article, I discuss how I used GPT-3.5 to create a text-to-query translator that allows users to interact with image and video datasets using natural language.
What I Learned Pushing Prompt Engineering to the LimitWhat I Learned Pushing Prompt Engineering to the Limit
June 12, 2023 |Towards Data Science
In this article, I share my experiences and lessons learned from pushing the boundaries of prompt engineering. Using advanced techniques, I explore how to make the most out of language models for various applications.
AI Telephone — A Battle of Multimodal ModelsAI Telephone — A Battle of Multimodal Models
Jun 15, 2023 |Towards Data Science
In this article, I explore the competitive landscape of multimodal AI models by setting up an "AI Telephone" experiment. I discuss the intricacies of various models and how they perform in this unique setup.
An Ode to my Physics Ph.D.An Ode to my Physics Ph.D.
July 18, 2023 |Towards Data Science
In this article, I open up on the journey from physics to machine learning, the challenge of transitioning into industry, and lessons learned along the way!
How to Build a Semantic Search Engine for EmojisHow to Build a Semantic Search Engine for Emojis
January 09, 2024 |Towards Data Science
In this article, I detail the process of building a custom vector search pipeline utilizing multimodal data, cross-encoders, and reranking!

🤗 Connect!

LinkedInMediumTwitterHugging Face

If you have an idea for an integration, plugin, blog post, or something else you'd like to chat about, feel free to reach out!

Things I Care About

  • ⚛️ Physics
  • 🌎 Climate
  • 📖 Open source | Open science
  • 🫀 Building with purpose

Awesome Open Source Projects

Here is a short list of some open source libraries I love ❤️! I've contributed to some of them, and some I just love using 😎

Data
Models
LLMs
Vector Databases

PinnedLoading

  1. voxel51/fiftyone-docs-searchvoxel51/fiftyone-docs-searchPublic

    Search docs.voxel51.com with an LLM!

    Python 368 62

  2. awesome-neurips-2023awesome-neurips-2023Public

    Conference schedule, top papers, and analysis of the data for NeurIPS 2023!

    Jupyter Notebook 119 7

  3. voxel51/voxelgptvoxel51/voxelgptPublic

    AI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions

    Python 242 18

  4. image-quality-issuesimage-quality-issuesPublic

    FiftyOne Plugin for finding common image quality issues

    Python 31 3

  5. voxel51/papers-with-datavoxel51/papers-with-dataPublic

    A curated list of papers that released datasets along with their work

    Python 125 9

  6. zero-shot-prediction-pluginzero-shot-prediction-pluginPublic

    Run zero-shot prediction models on your data

    Python 31 3


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