LLMs

Standard Large Language Models (LLMs) are trained on a straightforward objective: Next-Token Prediction (NTP). By maximizing the probability of the immediate subsequent token , given the previous context, models have achieved remarkable fluency and...

Large language models (LLMs) sometimes learn the flawed lessons, in accordance with...

are racing to make use of LLMs, but often for tasks they aren’t well-suited to. The truth is, in line with recent research by MIT, 95% of GenAI pilots fail — they’re getting...

, I used to be a graduate student at Stanford University. It was the primary lecture of a course titled ‘Randomized Algorithms’, and I used to be sitting in a middle row. “A ...

Introduction language models (LLMs), we're perpetually constrained by budgets. Such a constraint results in a fundamental trade-off:Imagine that for those who fix a compute budget, increasing the model size signifies that you need to...

With regards to artificial intelligence, MIT and IBM were there in the...

that the capabilities of LLMs have progressed dramatically in the previous couple of years, nevertheless it’s hard to quantify just how good they’ve develop into. That got me pondering back to a geometrical problem...

in production, actively responding to user queries. Nevertheless, you now need to improve your model to handle a bigger fraction of customer requests successfully. How do you approach this? In this text, I discuss...