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Why are today's AI models called Large Language Models? What exactly is large about LLMs — parameters, data, compute, ...

... Social Interactions in Large Language Model-Based Communities https://www.mdpi.com/1099-4300/26/12/1092 Hierarchical ...

We've been scaling Large Language Models by adding more 'experts' through Mixture-of-Experts (MoE). We've focused on ...

... AI possible happened in 2017 with something called the transformer architecture Earlier AI models processed text like humans ...

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HUGE AI NEWS: PersonaPlex, Step3 VL, Qwen3 TTS, FlowAct R1, VideoMama, VIGA & more #ai #ainews #aitools #aivideo ...

We are living in the era of the 'Mega-Model.' We have Large Language Models (LLMs) with trillions of parameters that can reason, ...

This is an invited talk: Dynamic Large Concept Model for AI Invited Speaker: Xingwei Qu is a Ph.D. student at the University of ...

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In this lecture, we explore Few-Shot Learning in Large Language Models (LLMs)—a powerful capability that allows models to ...

We are moving straight into the structural crisis of modern LLM scaling: the Architectural Impasse. Right now, we are forcing our ...

The course covers core concepts such as large language models, prompt engineering, multimodal AI, and model fine-tuning, ...

Make sure you leave a like and subscribe to the channel! Sign up on TestSprite for free using this link: ...

The course covers core concepts such as large language models, prompt engineering, multimodal AI, and model fine-tuning, ...

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In this video, we explain Agentic AI and the Model Context Protocol (MCP) in a simple and practical way. As AI systems evolve ...

You'll identify the optimal language models your hardware can support to maximize performance without reliance on cloud ...

... other practical scenarios LLM-Generated Answer Integration: Exploring the use of large language models to generate concise, ...

This is a video about AI Models & Neural Networks in Chatbots 00:00 AI Models & Neural Networks in Chatbots 01:32 Marker ...

... host Jon Krohn and guest Sinan Ozdemir discuss the "Needle in a Haystack" evaluation method for large language models.