TIL in stable diffusion circles, where long lists of keyword tags are the norm, prompts with full English sentences are called "boomer prompts"
MACHINE LEARNING
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Latest IIoT Trends and Digital Transformation Insights
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Are you curious about the latest trends and insights in #lIoT, #digitaltransformation, and #industry40? Then head over to https://t.co/vEH9v4PyGD and check out this week's Top 3 articles. @IIoT_World_Days @fabot70 via @fogoros #iotcommunity #industrialiot #iot pic.twitter.com/hxnrFfxU3t
— Lucian Fogoros (@fogoros) 3 février 2023Are you curious about the latest trends and insights in #lIoT, #digitaltransformation, and #industry40? Then head over to https://
iiot-world.com and check out this week's Top 3 articles. @IIoT_World_Days @fabot70 via @fogoros #iotcommunity #industrialiot #iot -
End-to-End ML Platform: Complete Feature Set Overview
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This is what an end-to-end ML platform looks like: • Streaming Pipelines
• Data Wrangling
• Real-Time Feature Store
• SOTA Models
• Notebook Hosting
• Training Pipelines
• Plug & Play Models
• Batch Predictions
• Model Monitoring & Drift Take a look at @abacusai
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5 Upcoming Python Libraries You Should Know 2023
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5 Upcoming Python Libraries You Don’t Want to Miss in 2023: This article was published as a part of the Data Science Blogathon. Introduction Python is a popular and influential programming language used in various applications, from web development to… https://
analyticsvidhya.com/blog/2023/01/5
-upcoming-python-libraries-you-dont-want-to-miss-in-2023/?utm_source=dlvr.it&utm_medium=twitter
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UT Austin Launches Affordable Online AI Master’s Program
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UT Austin announces a new AI Master’s program. Highlights:
1) it’s 100% online 2) it costs $10k (similar programs cost 5-10x that)
3) covers NLP, CV, DL, RL
4) two years of content, self-paced Read more here: https://
nytimes.com/2023/01/26/tec
hnology/ai-masters-degree-texas.html
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Claude vs ChatGPT comparison blog post by @goodside
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If you haven't seen Claude in action, check out my blog post for @Scale_AI comparing Claude to ChatGPT: https://
scale.com/blog/chatgpt-v
s-claude
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INT8 Transformers Optimization for Inference Acceleration
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#FBF to our @NeurIPSConf 2022 paper presentation on #INT8 #Transformers for #InferenceAcceleration. View our presentation* at https://
bit.ly/3DzONzG and download the paper at http://
untether.ai/resources. (*Playback requires Google Chrome browser) #AI #machinelearning #ENLSPII -
Linear and LayerNorm Biases Appear Useless in Experiments
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I'll give it a shot! Btw it is biases in both Linear and LayerNorm that appear to be useless (from my admittedly smaller scale experiments).
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Filtering and Distillation Techniques for Vision-Language Models
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Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training Radenovic et al.: https://
arxiv.org/abs/2301.02280 #ArtificialIntelligence #DeepLearning #MachineLearning -
Data Governance: Ensuring Accuracy, Integrity and Security
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Data governance is crucial for ensuring the accuracy, integrity and security of an organization's data. Let's prioritize it! By @ingliguori #DataGovernance #DataScience #digitaltransformation #datamining #DataSecurity #cloudsecurity #DataOps #MachineLearning #MLOps