Long-form conversations with large language models (LLMs) often lead to issues of redundancy and low-value token accumulation, which increase costs and degrade output quality. This article presents a deterministic prompt-pruning layer designed to mitigate these issues by reducing token usage while maintaining the necessary dependencies. The effectiveness of this solution is supported by real benchmarks and production-tested design, showcasing its potential for improving LLM performance.
LLMGenerative AIPrompt Engineering+1
LLMGenerative AIPrompt EngineeringNLP
Innovative Prompt-Pruning Layer Enhances LLM Efficiency and Quality
Towards Data Science· Emmimal P Alexander· Sunday, July 12, 2026
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OpenAI Transitions Atlas Browser to ChatGPT App, Dismissing Death Claims
OpenAI has announced the deprecation of its Atlas browser, which will cease operations on August 9. Contrary to speculation that this indicates a retreat from the browser market, the company is integrating its browser functionality into the newly launched ChatGPT Work, a redesigned desktop app. This super app merges ChatGPT, Codex, and web browsing capabilities. Additionally, OpenAI updated its Chrome extension to compete with Google's Gemini, enabling users to interact with ChatGPT about the content of web pages. While Atlas will be phased out, the new features in ChatGPT Work are designed to enhance user productivity without leaving a void in browser capabilities.