Last week our co-founder Ulrik Stig Hansen pitched on the main stage at The GovTech Summit 2022 in The Hague about data-centric #computervision in front of government leaders and some of the world's most innovative corporations! 🚀 It was an honor to be selected as one of the finalists alongside five other ground breaking #startups (👋🏽Tucuvi, Citibeats, FACIL'iti, NeuralSpace and Topolytics) Thank you PUBLIC and The GovTech Summit for organizing a great event!
Encord’s Post
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💥 Big month for us at Encord! 🤝 We’re very excited to welcome Simon Barnett, Parvathi Bimal, Thanh Nguyen, Mustakeem Malik, Fred E., Clinton Wee and Kevin McKeever to the team 🚀
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📹 Check out Frederik Hvilshøj’s (our ML Lead) video on how LLMs and Vision interact to create Vision-Language Models. 👀 Watch the space for many more to come!
Excited to share my first video in a series about Vision Foundation Models (VFM)s like GPT Vision, Gemini, and open source models like LLaVa and Monkey-Chat. (see many more here https://lnkd.in/dT7SePFY) Each week I'll post a short explainer on topics around computer vision, deep learning, and all the exciting stuff happening in the multi-modal space. This week I explain how LLMs and vision interact to create VLMs. If you have any topics you would like covered, let me know!
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⚡️ Results from fine-tuning a Vision-Language Model on geospatial data. ⬇️ See the difference between the 2D embeddings from the general-purpose CLIP model and the model fine-tuned by Encord. ❓Which one would you rather use for finding the data you need? 💬 Find the full explainer in the comments below.
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🤝 “We now have an integrated, one-stop solution where we can manage our data and also understand our model performance to create feedback mechanisms to improve data and models,” said Prajwal Kotamraju (Co-founder). 💡 Learn how Automotus increased mAP 20% by reducing their dataset size by 35%. 👇 See the full case study in the comments below
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What a cool and great guy on the stage👍👏🏻!