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Saldor: The Web Scraper for AI

Marktechpost

The quantity and quality of data directly impact the efficacy and accuracy of AI models. Getting accurate and pertinent data is one of the biggest challenges in the development of AI. LLMs require current, high-quality internet data to address certain issues.

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5 Industries Using Synthetic Data in Practice

ODSC - Open Data Science

What Is Synthetic Data Synthetic data is data that has been artificially generated by algorithms or simulations. Although it doesn’t come from the real world, it is a good enough reflection of real-world data to be as effective for training AI models. But what is synthetic data being used for?

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Serving With TF and GKE: Stable Diffusion

TensorFlow

Posted by Chansung Park and Sayak Paul (ML and Cloud GDEs) Generative AI models like Stable Diffusion 1 that lets anyone generate high-quality images from natural language text prompts enable different use cases across different industries.

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Future-Proof Your Company’s AI Strategy: How a Strong Data Foundation Can Set You Up for Sustainable Innovation

Unite.AI

After all, companies cant have AI development without fixing data first, and leaders are pulling away from the pack by using their more matured capabilities to better ideate, prioritize, and ensure adoption of more differentiating and transformational uses of data and AI.

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An introduction to preparing your own dataset for LLM training

AWS Machine Learning Blog

models using torchtune on Amazon SageMaker This post is co-written with Metas PyTorch team. , role: assistant}] The following is an example using the Ultrachat-feedback dataset format, which includes the following elements: prompt, chosen, rejected, message, score_chosen, and score_rejected.

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