abhishekjariwala
@abhijariwalaa
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New research reveals how large language models (LLMs) scale performance downstream using a novel clustering-based approach! This could reshape how we optimize AI tasks across industries. Dive into the details: https://t.co/OiKz7yNIFp
#AI #MachineLearning
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New AI tool McMining automatically detects misconceptions in student code, helping educators pinpoint and address learning gaps faster than ever! 🚀👩💻 #EdTech #AIinEducation Read more:
arxiv.org
When learning to code, students often develop misconceptions about various programming language concepts. These can not only lead to bugs or inefficient code, but also slow down the learning of...
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New research reveals that current hallucination detection metrics in AI aren’t as reliable as we thought, exposing a mirage in evaluating AI-generated content accuracy. Time to rethink how we measure trust in AI outputs! 🤖🔍 #AI #MachineLearning
arxiv.org
Hallucinations pose a significant obstacle to the reliability and widespread adoption of language models, yet their accurate measurement remains a persistent challenge. While many task- and...
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New research introduces a spectral-graph framework to quantify hallucinations in multimodal large language models, boosting accuracy and trustworthiness in AI outputs! 🤖✨ Dive into the future of AI reliability here: https://t.co/X10i3P2XkD
#AI #MachineLearning
arxiv.org
Hallucinations in LLMs--especially in multimodal settings--undermine reliability. We present a rigorous, information-geometric framework in diffusion dynamics that quantifies hallucination in...
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New research unveils methods to create high-quality datasets for code editing using open-source language models, boosting AI's ability to understand and improve code! A big leap for coding assistants and dev tools. 🚀 #AI #CodeEditing
arxiv.org
Code editing plays a vital role in software engineering, requiring developers to adjust existing code according to natural language instructions while keeping functionality intact and avoiding...
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New AI breakthrough! MonitorVLM combines vision and language to detect safety violations in mining operations, aiming to prevent accidents and improve worker safety. Tech that’s changing the game underground! 🚧🤖 #AIforSafety #MiningTech
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Introducing MobiLLM: a cutting-edge Agentic AI framework designed for real-time threat mitigation in 6G Open RANs, boosting security with closed-loop intelligence. The future of mobile networks just got safer! #6G #AIsecurity
arxiv.org
The evolution toward 6G networks is being accelerated by the Open Radio Access Network (O-RAN) paradigm -- an open, interoperable architecture that enables intelligent, modular applications across...
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New research introduces a hierarchical place recognition system using omnidirectional images combined with curriculum learning-based loss functions, boosting accuracy in challenging environments! Perfect for next-gen robotics and navigation tech. #AI #ComputerVision 🤖📍
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New research reveals a paradigm-shifting approach to data curation in vision-language models, unlocking their intrinsic capabilities for more accurate and efficient AI understanding. A big step forward in bridging visual and textual data! 🤖📊 #AI #VisionLanguageModels
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New research reveals why large language models often play it safe, regressing to the mean and struggling with true creativity in advertising. Is AI’s creative edge still a work in progress? 🤖✨ #AI #CreativeTech
arxiv.org
Large language models (LLMs) generate fluent text yet often default to safe, generic phrasing, raising doubts about their ability to handle creativity. We formalize this tendency as a Galton-style...
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I just published Dockerizing a Next.js and Node.js App with PostgreSQL and Prisma: A Complete Guide
link.medium.com
Explore the process of containerizing your Next.js and Node.js applications with PostgreSQL using Docker. This tutorial covers everything…
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