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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

Large language models (LLMs) are generally trained on large publicly available datasets that are domain agnostic. For example, Meta’s Llama models are trained on datasets such as CommonCrawl , C4 , Wikipedia, and ArXiv. These datasets encompass a broad range of topics and domains.

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Ethics Sheet for AI-assisted Comic Book Art Generation

Cloudera

A “comic book” in this context is a story told visually through a series of images, and optionally (though often) in conjunction with written language, e.g., in speech bubbles or as captions. For the purpose of this paper, “comic book” should be considered synonymous with graphic novels, comic strips, web comics, and perhaps more.

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The Good and the Bad of Python Programming Language

Altexsoft

The story goes as follows: When Guido van Rossum (the father of Python) began implementing the language, he was reading the published script of a BBC comedy series from the 70s called “Monty Python’s Flying Circus.” Python is a general-purpose, interpreted, object-oriented, high-level programming language with dynamic semantics.

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Beyond OpenAI in Commercial LLM Landscape

John Snow Labs

This blog post explores the emerging players in the commercial large language model (LLM) landscape, namely Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. and GPT-4 (ChatGPT) models, OpenAI provides access to these tools through a licensed API. billion in funding by June 2023.