3. Calculate Loss: At first the prediction is a random guess. The error between the prediction and reality is called loss. If the network predicts there is no cat in an image of a cat, loss is high and vice-versa. 3/10
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Neural Network Initialization and Feedforward Pass Basics
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1. Initialize the neural network: Create a neural network and initialize it with random weights and biases. 2. Feedforward pass: NN predicts an outcome based on input. For example: does the input image have a cat? 2/10
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Backpropagation and Gradient Descent: Deep Learning Mathematics Explained
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Backpropagation and Gradient Descent – The dynamic duo of deep learning Ever wondered about the mathematics behind NN training? Here is a simplified way to understand the process: 1/10
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White House Sponsors AI Model Red-Teaming at DEFCON 31
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Our best model will be featured in a White House-sponsored red-teaming “AI Village” contest at DEFCON 31 in Las Vegas from August 10-13, 2023 – to test the limits of our model. https://
whitehouse.gov/briefing-room/
statements-releases/2023/05/04/fact-sheet-biden-harris-administration-announces-new-actions-to-promote-responsible-ai-innovation-that-protects-americans-rights-and-safety/
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Stability AI Launches Stable Chat for LLM Safety Evaluation
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We are excited to announce our Stable Chat website that enables AI safety researchers and enthusiasts to interactively evaluate our best LLMs’ responses and to provide safety and usefulness feedback #StabilityAI #StableChat Read more → https://
bit.ly/3QBbefl -
Excitement for Efficient LLM Fine-tuning Research Methods
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I am really excited for the research community to develop (more) efficient methods for finetuning LLMs.
And I hope you find this competition as useful and exciting as I do! Link to the competition here: -
NeurIPS 2023 LLM Efficiency Challenge Starter Guide Released
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The NeurIPS 2023 LLM Efficiency Challenge is a super exciting opportunity for developing & benchmarking new research directions for param-efficient LLMs. If you are looking for something to tinker with this weekend, I just put together a Starter Guide: https://
lightning.ai/pages/communit
y/tutorial/neurips2023-llm-efficiency-guide/
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New Generative AI Platform Launch Event Recordings Available
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☀️That’s a wrap on our summer launch event!
— DataRobot (@DataRobot) 11 août 2023
ICYMI: Check out the on-demand recordings from yesterday’s event to learn all about our comprehensive new #generativeAI offering, giving your teams everything they need to experiment quickly, deploy in production, monitor to ensure… pic.twitter.com/0Jymf419yFThat’s a wrap on our summer launch event! ICYMI: Check out the on-demand recordings from yesterday’s event to learn all about our comprehensive new #generativeAI offering, giving your teams everything they need to experiment quickly, deploy in production, monitor to ensure
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Deconstructing AI Hype: Regulation and Corporate Accountability
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This is TODAY! Join me and @alexhanna as we take apart AI hype in the context of discussions of regulating (the companies that make) "AI". 1:30pm Pacific, https://
twitch.tv/dair_institute -
AI Peak Performance Requires Accessible Clean Trustworthy Data
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For peak performance, #AI needs data that’s easily accessible, clean, and trustworthy. Tarun Chopra, VP, IBM Product Management, Data and AI, explains how to implement an AI strategy the right way with #data integrity at the forefront: https://
ibm.biz/BdMx3w via @AiThority