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Pinterest Researchers Present an Effective Scalable Algorithm to Improve Diffusion Models Using Reinforcement Learning (RL)

Diffusion models are a set of generative models that work by adding noise to the training data and then learn to recover the same by reversing the noising process. This process allows these models to achieve state-of-the-art image quality, making them one of the most significant developments in Machine Learning (ML) in the past few…

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Speech to Text to Speech with AI Using Python — a How-To Guide | by Naomi Kriger | Feb, 2024

How to Create a Speech-to-Text-to-Speech Program Image by Mariia Shalabaieva from unsplashIt’s been exactly a decade since I started attending GeekCon (yes, a geeks’ conference 🙂) — a weekend-long hackathon-makeathon in which all projects must be useless and just-for-fun, and this year there was an exciting twist: all projects were required to incorporate some form…

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Pandas for Data Engineers. Advanced techniques to process and load… | by 💡Mike Shakhomirov | Feb, 2024

Advanced techniques to process and load data efficiently AI-generated image using KandinskyIn this story, I would like to talk about things I like about Pandas and use often in ETL applications I write to process data. We will touch on exploratory data analysis, data cleansing and data frame transformations. I will demonstrate some of my…

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