Remove 2014 Remove Deep Learning Remove Supervised Learning
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Big Data – Das Versprechen wurde eingelöst

Data Science Blog

GPT-3 ist jedoch noch komplizierter, basiert nicht nur auf Supervised Deep Learning , sondern auch auf Reinforcement Learning. GPT-3 wurde mit mehr als 100 Milliarden Wörter trainiert, das parametrisierte Machine Learning Modell selbst wiegt 800 GB (quasi nur die Neuronen!) ChatGPT basiert auf GPT-3.5

Big Data 147
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What is Generative Adversarial Network (GAN) in Deep Learning?

Pickl AI

Summary: Generative Adversarial Network (GANs) in Deep Learning generate realistic synthetic data through a competitive framework between two networks: the Generator and the Discriminator. In answering the question, “What is a Generative Adversarial Network (GAN) in Deep Learning?”

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AI Drug Discovery: How It’s Changing the Game

Becoming Human

Overhyped or not, investments in AI drug discovery jumped from $450 million in 2014 to a whopping $58 billion in 2021. Since the advent of deep learning in the 2000s, AI applications in healthcare have expanded. The more layers of interconnected neurons a neural network has, the more “deep” it is.

AI 139
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What is ASR? A Comprehensive Overview of Automatic Speech Recognition Technology

AssemblyAI

Though once the industry standard, accuracy of these classical models had plateaued in recent years, opening the door for new approaches powered by advanced Deep Learning technology that’s also been behind the progress in other fields such as self-driving cars. The data does not need to be force-aligned.

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An Exploratory Look at Vector Embeddings

Mlearning.ai

Things become more complex when we apply this information to Deep Learning (DL) models, where each data type presents unique challenges for capturing its inherent characteristics. 2014; Bojanowski et al., Data2Vec: A General Framework For Self-Supervised Learning in Speech, Vision and Language. and Auli, M.,