The article discusses the absence of a threshold‑dependent metric across ten quantization guides, highlighting what this omission reveals and introducing two numbers that address the gap. It examines how the lack of such a metric obscures certain insights in quantization practices. The piece offers a solution by presenting two specific figures that fill this missing analytical space.
The article titled "Ten Is Not a Hundred" discusses how the number ten can mislead hallucination detectors. It highlights a specific instance where this numerical confusion caused errors in automated systems. The piece was originally published on Towards Data Science.
A tiny GPT model was trained to memorize every fact presented to it, yet it failed to answer any question that required combining two of those facts. The author tested a one-line fix suggested in a recent paper, which only partially resolved the issue. The post highlights the limitations of small language models in integrating multiple pieces of information.
The article discusses the challenge of measuring the impact of AI systems, noting that obtaining data is now easier than deciding how to interpret it. It highlights the difficulty of turning raw numbers into actionable insights. The piece was originally published on Towards Data Science.
How unit economics should set your classification cutoff, and why they rarely do. The post Your Churn Threshold Is a Pricing Decision appeared first on Towards Data Science .
The article titled "What We Miss About Missing Values" explores the often overlooked assumptions embedded in the data we observe, particularly focusing on how missing values can influence analysis and interpretation. It delves into the hidden biases and methodological implications that arise when data is incomplete, urging readers to consider these factors when working with real-world datasets.
How to decide when an AI agent should act on its own by using cost asymmetry instead of a fixed confidence cutoff The post The Threshold Is a Price, Not a Percentage appeared first on Towards Data Science .
The article discusses the conditions under which separating the prefill phase from the decode phase in large language model inference is beneficial. It explains that only when three specific criteria are met does this split pay off, and it recommends using chunked prefill as the default approach when operating below a certain GPU threshold.
Qwen 3. 8 27B scores 52 on the Artificial Analysis Intelligence Index That's the same score as GPT-5.
The article discusses a viral tweet claiming that large language models (LLMs) consistently choose the number 7 when asked to pick a number between 1 and 10, attributing this to gradient descent. It argues that the underlying mathematics is more nuanced than the tweet suggests, offering a deeper exploration of the phenomenon. The piece appears on Towards Data Science and examines the interplay between LLM behavior and mathematical principles.
Simon Willison announces the release of ttok 1.0 after discovering that the previous version defaulted to the GPT‑4 tokenizer instead of the expected GPT‑5/GPT‑6 tokenizer. He explains that switching the default was a suitable reason to ship the new version. The release notes reference an experiment by William Liu that confirms the tokenizers for GPT‑5 and GPT‑6 models are likely identical, as all seven models report the same token count across 31 test fixtures.
What an ID column, a date string, and a missing value taught me. The post My Machine Learning Pipeline Cheated, and Cross-Validation Never Noticed appeared first on Towards Data Science .
The article explores the effects of removing a search box from an AI agent and instead providing it with typed tools, hard bounds, and a gate that it cannot bypass. It examines how the agent navigates a knowledge graph within strict limits and discusses findings from four models and one incorrect prediction regarding the value of this approach.