Why do we #PySparkTranspiler? It automates the translation of SPL queries into scalable PySpark data frame operations! This blog post shows you can use it to accelerate the migration of cybersecurity workloads into Databricks https://
dbricks.co/3V8DpRp
AI
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PySparkTranspiler Automates SPL to PySpark Migration
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Paint by Text: AI Tool for Easy Image Editing
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use https://
futurepedia.io/tool/paint-by-
text
… to easily edit images with just text
#artificalintelligence #ChatGPT -
Dot Product and Cosine Similarity in NLP Explained
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In this post, @luis_likes_math defines two types of similarities for sentences: dot product similarity and cosine similarity. These similarities are very useful in determining if two sentences are similar or different. Learn more about similarity in NLP in this exciting post:
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Cerebras Wafer-Scale Engine Enables Segmentation on Massive Images
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Thanks to the size of the Cerebras Wafer-Scale Engine, amplified by our weight-streaming technology, we can perform segmentation and classification on enormous, 25-megapixel images. Big chips, big images, big insight. Interested? Contact us here: https://
cerebras.net/get-demo/ -
Cerebras Enables Larger Image Semantic Segmentation Training
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Cerebras has made it possible to train and run inference on semantic segmentation models on images larger than can be done on GPUs today. pic.twitter.com/K938yfuFlF
— Cerebras (@cerebras) 3 février 2023Cerebras has made it possible to train and run inference on semantic segmentation models on images larger than can be done on GPUs today.
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ML and Computer Systems Intersection: Distributed Systems Focus
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Part 3 in the series is out, by Mangpo Phothilimthana and @apaszke
, covering the intersection of ML and computer systems (distributed systems, compilers, hardware design, energy-efficient and low emissions computing, etc). -
Patient Dignity and Expertise in AI-Driven Medicine
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Dignity-based medicine "Respecting the dignity of the patient as a knower suggests that expertise should also include the expertise of patients—on their body, their experience of pain or joy, and how they weight the risk of harm against benefit" https://
thelancet.com/journals/lance
t/article/PIIS0140-6736(23)00176-9/fulltext
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Google’s AI Research Policies Under Scrutiny
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No era Google. Con ellos, a pesar de estar en contra de sus políticas internas respecto a su manera de publicar sus investigaciones, me caen mu bien y creo que están haciendo un muy buen trabajo. Eso no quita que cuando hay que criticarles, se haga.
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Google and OpenAI: Open Source Data Training Controversy
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Que en concreto aquí se refieren a los datos de entrenamiento usados para los modelos instruct de GPT-3. Pero vamos, que open source no es sólo lo que os interese, colegas de Google
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Google’s hypocrisy: preaching open source while keeping PaLM closed
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Madre mía, el chiste se cuenta solo… Este párrafo de aquí está recogido en un nuevo paper de Google Research, donde hablan de la importancia del Open Source y poniendo como mal ejemplo a GPT-3. ¡ELLOS! QUE TIENEN A PALM BAJO LLAVE SIENDO SUPERIOR.