jinyan
@FrostyEveingBelieve in the power of time(s) 🚀 | Efficiency Enthusiast 📱 | FullStack Developer
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I often get asked about @raycastapp's growth secrets. Truth is, there are no hacks or quick-wins! Building a brand takes time. We grow with each feature, video, post, etc. It's easy to underestimate the power of compounding, but consistent effort eventually pays off.
Raycast获得3000万美元融资~
Announcing our $30M Series B to bring Raycast to Windows and iOS. Read on for early access 👉 raycast.com/blog/series-b
哈哈,效果真的太棒了 #LumaAI
I've been wanting to get to the bottom of this story for so long. #DreamMachine #LumaAI 😂
令人激动啊,AI的快速的向着更好的方向发展,一定要把握住机会~ 享受创造
上线第一天已经有10个用户,开局不错。一个备份推特书签并支持搜索的 chrome 扩展,欢迎大家试用。github.com/SiZapPaaiGwat/… #buildinpublic #indiehacker
1M上下文长度的llama3来了 ollama在电脑上直接命令行运行: ollama run llama3-gradient x.com/gradient_ai_/s…
We've been in the kitchen cooking 🔥 Excited to release the first @AIatMeta LLama-3 8B with a context length of over 1M on @huggingface - coming off of the 160K context length model we released on Friday! A huge thank you to @CrusoeEnergy for sponsoring the compute. Let us know…
Apple 要和 Raycast 合作了?不会被收购了吧
BREAKING NEWS 👀🚀🔴 @Apple in talks with @raycastapp about acquisition!! Leaked landing page design in the thread! ↓
Discovering #Dreamina is the biggest surprise in the 4-second AI video generation era so far. Just weeks ago, I was privileged to beta test this AI visual platform, Dreamina. It enabled me to create a concept teaser for "Raven Kingdom" - a defiance of tradition in a dark,…
推荐一下 LLaVA模型,13B的我用起来体感非常好,不仅仅是因为可以识别图像,而是这个模型的能力非常强,是唯一一个在本地运行并且智能效果能让我满意的模型~ 中文理解能力也非常棒,常用的翻译场景可以替代 gpt-3.5 ! 本地跑可以使用 @ollama ,ollama.com/library/llava,用13B效果就不错了,34B的没试
这么久没做贡献了,我竟然还是LangChain JS 的 Top Contributor 之一😄
👨👩👧👦👩👩👦👦 We've added a People page! There are some incredible humans from all over the world who have been instrumental in helping the LangChain community flourish, and we'd like to do more to recognize them and thank them for their efforts. To start, we're highlighting top…
这两天重看了一篇论文《AlphaCodium:引领代码生成新境界,从提示工程到流程工程》。 研究量化了使用流程工程替代单一步骤的提示工程在解决复杂任务时的显著效果提升。实验结果是在代码编程任务上,基于 GPT-4 的任务完成率从 19% 提升到了 44%。 发现两个问题。…
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