How Large Language Models Predict the Next Word
Have you ever wondered how large language models (LLMs) predict the next word in a sentence? It’s fascinating to think […]
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Artificial Intelligence
GPT-5’s Weak Spot: Struggling with Uncommon Words
I recently put ChatGPT-5 to the test by asking it to spell some unusual words: rscheinlichkeit, enschappelijke, ziehungsweise, sprechpartner, and
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Unlocking the Power of Real-Time Routing for Any Model
The recent launch of GPT-5 has sent shockwaves through the AI community, with its innovative real-time router technology taking center
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The Distillation Gap: Why Open-Source LLMs Are Tiny Despite Impressive Research
I’ve been digging into model distillation lately, and I’m struck by the gap between the impressive results shown in research
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The Power of Separate Projections in Transformers
Have you ever wondered why transformers use separate learned projections for Q, K, and V in their attention mechanism? It
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Unlocking Disentanglement with Flow Matching Models
Have you ever wondered how to disentangle attributes from an embedding? I’ve been exploring the idea of using flow matching
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Unlocking Ultra-Long Context: Qwen3 Models Now Support 1 Million Tokens!
Imagine being able to process and understand massive amounts of text data with ease. That’s exactly what’s now possible with
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The Rise of GPU-Rich Labs: What’s Left for the Rest of Us?
As AI technology continues to advance, it’s becoming clear that GPU-rich labs are taking the lead. With their powerful computing
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Flagging Prompt Attacks with AI: A 95% Accurate Defense Model
Imagine being able to flag malicious prompts attacking your language models with an accuracy of 95%. That’s exactly what I’ve
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The Underwhelming Experience of GPT-5
I have to admit, I was hyped about GPT-5. I mean, who wouldn’t be? The rumors, the anticipation, the promise
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