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Frugality meets Accuracy: Cost-efficient training of GPT NeoX and Pythia models with AWS Trainium

AWS Machine Learning - AI

Their quick adoption is evident by the amount of time required to reach a 100 million users, which has gone from “4.5yrs by facebook” to an all-time low of mere “2 months by ChatGPT.” A generative pre-trained transformer (GPT) uses causal autoregressive updates to make prediction. We’ll outline how we cost-effectively (3.2

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Named Entity Recognition: The Mechanism, Methods, Use Cases, and Implementation Tips

Altexsoft

A corpus can range from a set of news articles to academic journals or even social media posts. Several neural network architectures are prominent in the NER domain. Transformer architectures, including the likes of GPT, have reshaped the landscape of NLP tasks, including NER.

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AI Image Generation Explained: Techniques, Applications, and Limitations

Altexsoft

GANs architecture. DALL-E 2, the evolved version of the original DALL-E, was released in April 2022 and is built upon an advanced architecture that employs a diffusion model, integrating data from CLIP. DALL-E 2 utilizes the GPT-3 large language model to interpret natural language prompts, similar to its predecessor.

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My belated 2022 recap: blog posts and articles

Puppies, Flowers, Rainbows and Kittens

Spotify’s grand plan to monetize its open source Backstage project via premium plugins [link] by Paul Sawers Backstage was created when I was at Spotify. Even in its earliest days, it solved many problems for us in a massively micro-service architecture. You’ve probably heard… I liked this approach to documentation.