AI

14 Rossum AI Competitors/Alternatives in 2023

Document processing is crucial in many industries such as finance automation and accounts payable. Alongside accounts payable AI (APAI) solutions,

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Domain Adaptation of A Large Language Model | by Mina Ghashami | Nov, 2023

Adapt a pre-trained model to a new domain using HuggingFace Image from unsplash Large language models (LLMs) like BERT are

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Will AI take away jobs or make us more efficient?

Employee Experience Series If you’re waiting to see how AI is changing the way we work, it already has. Just

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Procuring & Building for AI Transformation in 2023

AI transformation including generative AI is one of the top priorities for CEOs. Though AI is critical for enterprises its

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Which Quantization Method is Right for You?(GPTQ vs. GGUF vs. AWQ) | by Maarten Grootendorst | Nov, 2023

Exploring Pre-Quantized Large Language Models Throughout the last year, we have seen the Wild West of Large Language Models (LLMs).

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Unlocking the Power of Big Data: The Fascinating World of Graph Learning | by Mathieu Laversin | Nov, 2023

Harnessing Deep Learning to Transform Untapped Data into a Strategic Asset for Long-Term Competitiveness. Photo by Nathan Anderson on Unsplash

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Understanding Instrumental Variables | by Matteo Courthoud | Nov, 2023

How to estimate causal effects when you cannot randomize treatment Cover, image by Author A/B tests are the golden standard

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The Moat for Enterprise AI is RAG + Fine Tuning — Here’s Why | by Barr Moses | Nov, 2023

To succeed with generative AI at scale, we need to give LLMs the diligence they deserve. Enter RAG and fine

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Philosophy and Data Science —Thinking deeply about data | by Jarom Hulet | Nov, 2023

Part 1 : Determinism Photo by ‘HH’ on Pexels.com Data science is a very technical, in-the-weeds type of work. We

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