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Five steps to improve information extraction using trustworthy generative AI

SAS Software

SAS' Federica Citterio answers the perennial data science question: "How can I trust (generative) LLM to provide a reliable, non-hallucinated result?" The post Five steps to improve information extraction using trustworthy generative AI appeared first on SAS Blogs.

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Microsoft AI Research Introduces Orca-Math: A 7B Parameters Small Language Model (SLM) Created by Fine-Tuning the Mistral 7B Model

Marktechpost

In conclusion, Orca-Math embodies a groundbreaking approach to learning that melds the realms of artificial intelligence and education to tackle the perennial challenge of teaching complex problem-solving skills.

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Researchers from UCSD and USC Introduce CyberDemo: A Novel Artificial Intelligence Framework Designed for Robotic Imitation Learning from Visual Observations

Marktechpost

CyberDemo represents a significant step forward in the field of robotic manipulation, offering a scalable and efficient solution to the perennial challenges of sim2real transfer and policy generalization. Check out the Paper and Project. All credit for this research goes to the researchers of this project.

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Revolutionizing Content Moderation in Digital Advertising: A Scalable LLM Approach

Marktechpost

By seamlessly integrating advanced LLMs with strategic clustering and innovative selection techniques, they have crafted a scalable, efficient, and highly effective solution to the perennial challenge of content moderation.

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MIT Leads the Way in AI-Driven Warehouse Efficiency

Unite.AI

This methodological shift has led to substantial improvements in handling robot congestion, a perennial challenge in warehouse management. The model, by focusing on smaller groups of robots, streamlines the process of managing and rerouting robotic movements within a bustling warehouse environment.

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Are Experts Needed in Human Evaluation?

Ehud Reiter

** Paper will be presented at ACL in1615 Generation session on Tuesday 11 July One of the perennial questions in human evaluation of NLP systems is whether the evaluation needs to be done by domain experts, or whether we can use non-experts such as students, colleagues, and crowd workers (which if course is much cheaper, quicker, and easier to organise). (..)

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Gameplay Reimagined: The AI Revolution

Towards AI

Technical Deep Dive: Unity3D meets Generative AI The amalgamation of Generative AI with Unity3D unfolds a realm of enhancements, be it enriched gameplay or a perennial stream of novel content.