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0 Replies and 1396 Views Read This First! 1396 0 Started by Bogdan Michka Welcome to AAPG N.E.T., an online space where you can Network, Engage and Talk. Please complete the following steps before you begin interacting with the discussion boards: 1. Take time to review your profile and privacy settings, paying attention to your display name and photo, as they will be used to identify your posts. 2. Read the Discussion Boards FAQ page to learn the rules and get familiar with the features: http://broken.aapg.donfick.com/career/aapg-net/discussion-boards-faq — pa...

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09 May 2017 03:37 PM

0 Replies and 22 Views LLMs Are Not Large Numeric Models 22 0 Started by Patrick Ng Mentioned in a post that 'LLMs are not large numeric models' &91;1&93;, for completeness, see visual examples from prompting LLM on Texas Field Production Reports. &91;2&93; Lesson Learned from Exploration: The Need for Calibration Beware the peril of using LLMs for oil and gas production volumes without proper calibration. Just as in exploration, performing seismic-well ties is a must before sanctioning or drilling another well. Ensuring data verification and proper con...

09 May 2025 11:21 AM

0 Replies and 74 Views AI Vibe Coding: Building Apps Without Writing a Single Line of Code 74 0 Started by Patrick Ng What is Vibe Coding Imagine developing a full-fledged application—without ever touching a code editor. Google has quietly launched Firebase Studio, a cloud-based AI-powered integrated development environment that lets you build full-fledged apps using natural language prompts. Getting hands on Here is my step-by-step test drive*. 1) Go to https://studio.firebase.google.com/ 2) Enter prompt to describe your app, e.g., 'An app that takes user input prompt on places...

21 Apr 2025 04:01 PM

0 Replies and 67 Views Bitnets AI: A Legacy of Efficiency Rooted in Geoscience 67 0 Started by Patrick Ng Bitnets take a minimalist approach to neural network computation, quantizing weights into just three values: -1, 0, and 1. This dramatically reduces memory and computational requirements compared to traditional models, making Bitnets far more efficient—especially for deployment on resource-constrained hardware. Microsoft researchers, for example, have developed a hyper-efficient AI model that can run on CPUs &91;1&93;. Is it a coincidence that geoscience played a role in the development of ...

18 Apr 2025 09:46 AM

0 Replies and 73 Views A Closer Look at Calibrated Structured Learning: AAPG-DOE Geothermal Workshop 73 0 Started by Patrick Ng Following up on our earlier post of AI for Education (https://broken.aapg.donfick.com/career/aapg-net/activity/aft/679/groupid/979), let's explore further calibrated structured learning in action. Join us for an exciting AAPG-DOE hosted virtual workshop: 🗓 Geothermal Subsurface Characterization: Geology & Geophysics 🔗 Register: https://www.geode.energy/resources/geothermal-subsurface-characterization-workshop 📍 April 29-30, 2025 This workshop is designed to equip geoscientists, engineers, a...

15 Apr 2025 10:15 PM

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Forums Technical Interest Groups Deep Learning - Machine Learning TIG Discussions

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