Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale
This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by ...
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Mixture of Experts LLMs: Key Concepts Explained
Mixture of Experts (MoE) is a type of neural network architecture that employs sub-networks (experts) to ...
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Researchers teach LLMs to solve complex planning challenges | MIT News
Imagine a coffee company trying to optimize its supply chain. The company sources beans from three ...
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Open LLMs are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives [Paper Reflection]
Closed Large Language Models (LLMs), which are proprietary and accessible only via APIs, have dominated the ...
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Training LLMs to self-detoxify their language | MIT News
As we mature from childhood, our vocabulary — as well as the ways we use it ...
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MM-Ego: Towards Building Egocentric Multimodal LLMs
This research aims to comprehensively explore building a multimodal foundation model for egocentric video understanding. To ...
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Could LLMs help design our next medicines and materials? | MIT News
The process of discovering molecules that have the properties needed to create new medicines and materials ...
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Meet ReSearch: A Novel AI Framework that Trains LLMs to Reason with Search via Reinforcement Learning without Using Any Supervised Data on Reasoning Steps
Large language models (LLMs) have demonstrated significant progress across various tasks, particularly in reasoning capabilities. However, ...
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AGI Is Not Here: LLMs Lack True Intelligence
AGI Is Not Here: LLMs Lack True IntelligenceAre we on the brink of a new era ...
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