Sat.Oct 14, 2023

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WellSaid Labs AI Voice Generator Review (October 2023)

Unite.AI

As we move towards a future where artificial intelligence is becoming an integral part of our lives, WellSaid Labs is one such AI voice generator that has caught people's attention. With 50 realistic AI voices and precise speech editing capabilities, it has become a game-changer in the world of voiceovers. In this WellSaid Labs review, we will discover what WellSaid Labs is all about and explore its various use cases.

AI 276
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Reflections on AI Engineer Summit 2023

Eugene Yan

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

professionals

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Introducing the Free ODSC West Open Pass

ODSC - Open Data Science

In the spirit of open data and growing the data science and AI community, we are thrilled to announce that we are now offering a free ODSC Open Pass, both for in-person and virtual during ODSC West this October 30th to November 2nd. For those of you who haven’t attended an ODSC Conference before, this is the perfect way to dip your toes in and get a feel for what we are all about.

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Reflection and Takeaways from AI Engineer Summit 2023

Eugene Yan

The biggest deployment challenges, backward compatibility, multi-modality, and SF work ethic.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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“A Study of Checkpointing in Large Scale Training of Deep Neural Networks” paper summary

Mlearning.ai

Introduction Deep learning tasks usually demand high computation/memory requirements and their computations are embarrassingly parallel. In this way, high-performance computing (HPC) systems are a good target for them. The paper claims that distributed training has been facilitated by deep learning frameworks, but fault tolerance did not get enough attention.

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HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets

Mlearning.ai

`pip install hypertab` is all you need Overview of the article: Why are tabular data so interesting? Introduction to hypernetworks What is HyperTab? Why use HyperTab? How to use HyperTab? How does HyperTab perform? GitHub - wwydmanski/hypertab Why are tabular data so interesting? Different types of datasets. Source: [parrot] , [time series] There are many different types of data —real world images, time series, natural language, and, of course, tabular.