正在加载视频...

视频加载失败

ollama + DeepSeek v4 pro handled entire monthly dev reports on Eigent. github prs → word doc → slack message → sent to product-release channel. in just one prompt. fully local. the full walkthrough is in the thread. try the same loop on open source cowork Eigent, byo model!

11,416 次观看 • 5 个月前 •via X (Twitter)

5 条评论

Eigent AI 的头像
Eigent AI5 个月前

full guide to recreate this use case:

Mert · AI Architect 的头像
Mert · AI Architect5 个月前

@ollama @deepseek_ai Local inference at 1M tokens only works because DeepSeek cut KV cache to 10% of V3.2. That's the engineering story underneath the demo.

Alice The Ai Expert 的头像
Alice The Ai Expert5 个月前

@ollama @deepseek_ai Local AI just automated your whole workflow

Rahul - QA - Automation - AI 的头像
Rahul - QA - Automation - AI5 个月前

@ollama @deepseek_ai 1M tokens + MoE magic making agentic workflows actually usable locally/cloud. Any tips on the exact prompt structure you used for the GitHub → Word → Slack chain? Great work!

Strata 的头像
Strata5 个月前

@ollama @deepseek_ai Tempo's testnet numbers look solid actually

相关视频