English(EN) How do you use so many tokens

Anthropic 用户讨论如何最大化大 token 限制

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-01 04:01

Reddit 上的用户正在讨论如何有效利用 Anthropic AI 模型提供的大量 token 限制。对话围绕着最大化上下文窗口的实际应用展开，用户推测了诸如编码大型架构或处理海量信息等场景。参与者正在分享策略并寻求建议，特别是针对个人订阅，以了解如何最好地利用这些高级功能。 AI

影响用户正在探索大上下文窗口的高级用例，这可能推动 AI 在复杂任务中的应用方式的创新。

排序理由用户对产品功能的讨论，而非产品发布或重大行业事件。

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户对产品功能的讨论，而非产品发布或重大行业事件。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

r/Anthropic TIER_1 English(EN) · /u/Hot_Equal_2283 · 2026-09-01 04:01

如何使用如此多的 token

<div class="md"><p>How does one use so many tokens as to max out a session? Are you guys just all coding massive new architectures and require an AI to gather a ton of context then spit out tens of thousands of lines of code? Especially those who max out your perso…