The prompt Engineering guide is cool. Some really strong recommendations in the thread Akshay.
@sumanth_077
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Statistics for Data Science: Important Concepts and Practical Use Cases Playlist
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4. Sumanth P I have created an entire playlist of important concepts of statistics for Data Science with practical use cases Check this: http://
youtube.com/playlist?list=
PLfAC1GPuK4j_VCcZGof9s7M4x5wWtJR4y
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Khan Academy: Best Channel for Learning Statistics in Data Science
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1. Khan Academy Arguably the best channel to learn Statistics for Data Science Check this: http://
youtube.com/playlist?list=
PL1328115D3D8A2566
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Statistics Fundamentals: Essential Free Courses for Aspiring Data Scientists
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If you are an aspiring Data Scientist remember that Statistics plays a crucial role in your journey. Learn Statistics for Data Science and get your fundamentals strong with these free video courses:
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Appreciation for Emerging AI Tools Assisting People
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Really good to see a lot of great AI tools coming up assisting people
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Try Instruct Pix2Pix Demos on Hugging Face and Replicate
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If you would like to try and play with this check out the below Demos: Hugging Face → http://
huggingface.co/spaces/timbroo
ks/instruct-pix2pix
… Replicate → http://
replicate.com/timothybrooks/
instruct-pix2pix
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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. -

InstructPixPix: Fine-tuned Stable Diffusion Model for Image Generation
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You might have seen and are aware of the Stable Diffusion model that generates images through text InstructPixPix is just trained by fine-tuning the StableDiffusion model.
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Image Editing Model Follows Written Instructions for Output
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Here's how it works in short: Input: Given an image and a written instruction that tells the model what to do Output: The model follows these instructions to edit the image. Checkout the below example: