AI-enabled products will provide the optimal user experience by going ‘full stack’. History has shown us that delivering the best user experience matters. And the best user experience is the result of every product detail being constructed with intention. https://
open.substack.com/pub/moreentrop
y/p/the-case-for-open-ai?utm_source=direct&utm_campaign=post&utm_medium=web
…
SOFTWARE
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Full Stack AI Products Deliver Optimal User Experience Design
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FSD v12 milestone represents end-to-end AI architecture breakthrough
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Arguably, v11.4 should be v12.0, as there are so many major improvements. v12 is reserved for when FSD is end-to-end AI, from images in to steering, brakes & acceleration out.
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Tesla Expands Autonomous Technology Rollout Starting with Employee Testing
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Ships to Tesla employees tomorrow, then progressively wider as confidence grows. We test as much as possible in simulation and with QA drivers, but reality is vastly more complex.
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Open Source AI Model Alternative to OpenAI Integration
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It’s an alternative if you’re interested in a model (1) which is only trained on clean data and/or (2) that you can use internally without having to send your data to OpenAI. Here is an example of integration in vscode: https://
marketplace.visualstudio.com/items?itemName
=HuggingFace.huggingface-vscode
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AI for IT Operations: Cloud Alerts, Incident Detection, Predictive Maintenance
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#AI for IT Operations =
1) Cloud Spend Alerts
2) Early Incident Detection
3) Predictive Maintenance
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#DeepLearning technology from @abacusai to the rescue! https://
abacus.ai/itoperations
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#AIOps #MLOps #DevOps #BigData #DataScience #MachineLearning #PredictiveAnalytics #TimeSeries -
Vector Databases: Essential Infrastructure for AI Applications
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What is a Vector Database? | Pinecone We’re in the midst of the AI revolution. All of these new applications rely on vector embeddings, a type of data representation that carries within it semantic information https://
bit.ly/3pcYhg8 -
Hugging Face Inference Endpoints Scale Well One Click Deploy
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Hugging Face Inference endpoints scale quite well – https://
huggingface.co/inference-endp
oints
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MEC Infrastructure for AI-Powered IoT Smart Factory
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If you are putting #IoT devices in a smart factory to run an #AI engine, you need a real infrastructure with high reliability, low latency and engineering at a technical level, MEC is critical to helping you figure out how to approach and perform the use case. Here is how… pic.twitter.com/XJkkQWhGGy
— Helen Yu (@YuHelenYu) 6 mai 2023If you are putting #IoT devices in a smart factory to run an #AI engine, you need a real infrastructure with high reliability, low latency and engineering at a technical level, MEC is critical to helping you figure out how to approach and perform the use case. Here is how
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AI Data Pipeline: 5 Processing Steps and Storage Importance
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What is an #AI Data Pipeline? Why does Storage Matter? https://
purefla.sh/3oUEnGm by @PureStorage This article addresses the 5 processing steps in the AI Data Pipeline Lifecycle:
1) Ingestion
2) Cleaning
3) Exploration
4) Training
5) Deployment
and
emphasizes The importance of the