#infographic: Complete Python Roadmap for beginners in 2023
Via @ingliguori #coding #programming #100DaysOfCode #Django #TensorFlow #PyQt #scikitlearn #Pygame #NumPy #pandas #Flask #OpenCV #PyTorch #python #machinelearning #artificialintelligence #datascience #AI #DEVCommunity
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Complete Python Roadmap for Beginners in 2023
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LLMs Can Only Automate Boilerplate Code Worth Eliminating
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The only kind of "BS" that can genuinely be automated with a LLM is… boilerplate. But here's the thing — boilerplate that can be automated away is also boilerplate that we could do away with altogether.
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Fixed Size Cache Initialization in Sampling Operations
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Because you typically init caches with fixed size before sampling
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Single Flag Changes Can Match Months of Optimization Work
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I love how sometimes changing one integer/flag can have the same impact as a 1 month optimization project. You just know there is some OMP_NEVER_HEARD_OF=3 that gets addition 3% MFU. Or my personal favorite – that undocumented bios flag that only 4 people on Earth know exists 😀
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Ken Thompson Birthday: Unix Creator and Programming Pioneer
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Happy birthday to programming-language pioneer Ken Thompson. designer of Unix inventor of B (predecessor to C) co-inventor of Google's Go http://
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The DevRel Show: Weekly Developer Relations and Technology Updates
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Thank you Arya!! @DataScienceHarp and I co-host "The DevRel Show" every week, follow us to stay tuned!
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Open Source Instruct-Pix2Pix Model with Complete Guide
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The Important part is they made it completely Open Source Also has a step-by-step guide on how they approached this problem, created the dataset and fine-tuned the model Check it out here! https://
github.com/timothybrooks/
instruct-pix2pix
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InstructPix2Pix Model Training Dataset Requirements and Composition
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But to train any model Dataset is required and for this model, a dataset should contain 1. An Input Image
2. An Editing Instruction
3. An output-edited image All these 3 combine into a single Training example and the InstructPix2Pix trained on 454,445 such examples. -
Natural Language Processing: Core Techniques and Cognitive Science
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This course introduces you to the core techniques of natural language processing (NLP) and computational linguistics. But it introduces these techniques from data science alongside the cognitive science that makes them possible.