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Post-training @ MSL | ex-{Google X, Liquid AI , Voxel51} | PhD in Theoretical Physics @ Stanford
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Meta Superintelligence
- SF
- http://jacobmarks.github.io
- in/jacob-marks
- https://medium.com/@jacob_marks
I'm Jacob
- Ph.D. in Theoretical Physics, Stanford University
- B.S. in Intensive Physics, Math & Philosophy, Yale University
I regularly contribute to technical topics on Medium, where I have over 8,000 followers. My writings cover AI, ML, computer vision, data cleaning and curation, and more!
See popular articles
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How 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. |
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How 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. |
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What 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. |
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AI 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. |
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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! |
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How 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! |
- ⚛️ Physics
- 🌎 Climate
- 📖 Open source | Open science
- 🫀 Building with purpose
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voxel51/fiftyone-docs-search
voxel51/fiftyone-docs-search PublicSearch docs.voxel51.com with an LLM!
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awesome-neurips-2023
awesome-neurips-2023 PublicConference schedule, top papers, and analysis of the data for NeurIPS 2023!
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voxel51/voxelgpt
voxel51/voxelgpt PublicAI assistant that can query visual datasets, search the FiftyOne docs, and answer general computer vision questions
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image-quality-issues
image-quality-issues PublicFiftyOne Plugin for finding common image quality issues
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voxel51/papers-with-data
voxel51/papers-with-data PublicA curated list of papers that released datasets along with their work
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zero-shot-prediction-plugin
zero-shot-prediction-plugin PublicRun zero-shot prediction models on your data
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