Lung cancer is the No. 1 deadliest cancer in the world, yet many patients have never smoked. A new deep learning model can detect future lung cancer risk for these patients by analyzing image data — without help from a radiologist: http://
bit.ly/3iU8xXZ @AIHealthMIT
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Deep Learning Model Detects Lung Cancer Risk Without Radiologist
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Create Datasets with CVAT: Annotations for Computer Vision
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🚀NEW VIDEO
— Satya Mallick (@LearnOpenCV) 23 janvier 2023
Learn how to create datasets using bounding box annotations, masks, key points, and more for both images and videos using CVAT – an open-source computer vision annotation tool.
▶️Watch the video to learn more – https://t.co/sx4kGwVW60 #cvat #dataset #boundingbox #ai pic.twitter.com/QocJmFyLlrNEW VIDEO
Learn how to create datasets using bounding box annotations, masks, key points, and more for both images and videos using CVAT – an open-source computer vision annotation tool.
Watch the video to learn more – https://
youtube.com/watch?v=yxX_0-
zr-2U
… #cvat #dataset #boundingbox #ai -
Microsoft OpenAI partnership advancing safe AGI for humanity
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Microsoft + OpenAI = amazing technology available safely & usefully to the world. So much to build as we pursue our mission of ensuring AGI benefits all of humanity:
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Using Othership and Soul AI applications for wellness
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I've been using @othership_us and Soul, both great.
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Using AGI Once Acquired Strategy Announcement
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We will simply use our AGI once we’ve acquired it
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RL ranking automation needs new human responses
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The problem is the process ultimately depends on RL ranking generations made for the same prompt. If you need new human responses too, it can’t be automated.
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Problem-Solving and Impact: The Joy of Data Science
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Indeed problem-solving is the most fun part when it comes to Data Science. And thinking of the impact that the problem we are working on will have makes it even more enjoyable.
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GroqChip enables real-time risk calculations for investment portfolios
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Our performance enables real-time, low latency capabilities needed to manage complex risk calculations in investment portfolios. Watch this #SC22 demo by @MaxelerTech of a risk application based on Value at Risk (VaR) running on GroqChip™. https://
youtu.be/NE-5MW46nH4 -

Track Token Usage Throughout Chain and Agent Calls
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Track token usage throughout chain/agent calls This was one of the more requested features! Very useful to be able to know how many tokens your agent/chain is using. See below thread for more information
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v0.0.68 Release: Token Tracking and Agent Improvements
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v0.0.68: New Features: Track token usage throughout chain/agent calls Improvements: Doc improvements: @nickscamara_ amosjyng SerpAPI tool improvement @brunotorious HuggingFace pipeline improvements – xloem Fix whitespace for convo agent – @bazeroni