#reasoning tokens
5 related articles
·2 min
Moonshot K2.7 Code Released: 30% Fewer Reasoning Tokens, Comprehensive Coding Performance Improvements
Moonshot releases K2.7 Code, cutting reasoning tokens by 30% vs K2.6 while boosting coding benchmarks. Now live on Fireworks with serverless API access.
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·3 min
Connecting DeepSeek V4 API to Copilot in VSCode: A Detailed Tutorial with Two Methods
Two methods to connect DeepSeek V4 API to GitHub Copilot in VSCode: quick setup via DeepSeek for Copilot extension and fully customizable OAI extension with 1M token context window.
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·2 min
Claude Fable User Guide: Four Core Tips to Boost AI Development Efficiency
Anthropic shares four key tips for Claude Fable: assign bigger tasks, choose effort levels wisely, rewrite old instructions, and shift from tasks to goals.
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·3 min
OpenAI Codex in Practice: Context References, Reasoning Levels, and TODO-to-Task Conversion Explained
A deep dive into three core OpenAI Codex extension features: adding prompt context with @ symbols and images, adjusting AI reasoning levels, and converting TODO comments into Codex tasks.
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Tech Frontiers·2 min
Claude Opus 4.8 Thinking Effort Calibration Explained: A Critical Optimization Direction for AI Reasoning Models
Anthropic releases Claude Opus 4.8 with optimized thinking effort calibration. This article explains what it is, why it matters for AI reasoning models, and its impact on industry competition.
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