We believe that AI could have transformative effects in our lifetime and we want to ensure that these effects are positive. The creation of robust AI accountability and auditing mechanisms will be vital to realizing this goal. Read our full post here:
AI
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Guide to Introducing Employees to Artificial Intelligence
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How to Introduce Your Employees to Artificial Intelligence
#AI #AIio #BigData #ML #NLU #Futureofwork @IIoT_World @ipfconline1 @jblefevre60 @JimMarous @insurtechtalk @KirkDBorne @kuriharan @LouisSerge http://
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I-JEPA Delivers Strong Computer Vision Performance with Efficiency
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The approach taken with I-JEPA delivers strong performance across a number of computer vision tasks and does so with greater computational efficiency compared to other widely used computer vision models.
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Open-Sourcing Research Work for CVPR 2023 Conference
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In support of open science and the research community, we're open-sourcing this work — and we'll be presenting it at #CVPR2023 next week. Training code and model checkpoints
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I-JEPA: Self-Supervised Computer Vision Learning Through Prediction
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Today we're releasing our work on I-JEPA — self-supervised computer vision that learns to understand the world by predicting it. It's the first model based on a component of @ylecun
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Netflix Architecture: Technical Infrastructure Overview
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The architecture of Netflix, v/
@alexxubyte
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FastChat-T5 Encoder-Decoder Model Performs Well on Chatbot Arena
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Yeah but fastchat-t5 ranking decently for it's size on chatbot arena is a pretty good evidence of encoder decoder models being able to actually chat well.
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LLaMA-Adapter and LoRA: Multimodal Input Advantages
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Good question. I'd say LLaMA-Adapter and LoRA are both good methods. The advantage of LLaMA-Adapter though is that you can also embed multimodal inputs (images and others)
