Summit Suen @SummitSuen
Data Scientist, Sport & Open Source Enthusiast, and Community volunteer. Microsoft Most Valuable Professional since 2017 tw.linkedin.com/in/suensummit Taipei City, Taiwan Joined May 2012-
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DREAM - a Distributed RAG Experimentation Framework 🧑🔬 Building RAG comes with a lot of knobs that you need to tune, and it’s important that you setup the right experimentation infrastructure to build production RAG. This project by Aishwarya Prabhat provides a comprehensive…
翻译了OpenAI关于Sora相关的技术报告:《Video generation models as world simulators | 视频生成模型:构建虚拟世界的模拟器》 这篇技术报告主要介绍了两方面内容:(1) OpenAI如何将各种类型的视觉数据转化为统一的表示形式,从而实现生成模型的大规模训练;(2) 对 Sora…
翻译了OpenAI关于Sora相关的技术报告:《Video generation models as world simulators | 视频生成模型:构建虚拟世界的模拟器》 这篇技术报告主要介绍了两方面内容:(1) OpenAI如何将各种类型的视觉数据转化为统一的表示形式,从而实现生成模型的大规模训练;(2) 对 Sora… https://t.co/cQNlE1xGen
📝 Proposition-Based Retrieval A key design choice in building RAG is the “retrieval unit”: sentence, paragraph, etc. A new paper (“Dense X Retrieval” by @tomchen0 et al.) introduces a new retrieval unit - a proposition. By indexing a proposition and retrieving the raw text,…
Will stay at Kuala Lumpur till this weekend, is there any upcoming AI/ML meetups here?
I do believe Mistral did an amazing job. But this tweet is a bit 𝐨𝐟𝐟𝐞𝐧𝐬𝐢𝐯𝐞 to me 😕 1) OpenMoE is earlier. 2) OpenMoE is more open. We released everything. Code, data, checkpoints and everything we have. I also told everyone everything without any reservation when they…
I do believe Mistral did an amazing job. But this tweet is a bit 𝐨𝐟𝐟𝐞𝐧𝐬𝐢𝐯𝐞 to me 😕 1) OpenMoE is earlier. 2) OpenMoE is more open. We released everything. Code, data, checkpoints and everything we have. I also told everyone everything without any reservation when they…
i loved my time at openai. it was transformative for me personally, and hopefully the world a little bit. most of all i loved working with such talented people. will have more to say about what’s next later. 🫡
lol
分享一下我们在内部系统中使用函数调用的经验。我们尝试了各种使用LLM的方法,基本上涵盖了 deeplearning ai 课程中的技巧。幸运的是,我们测试接近尾声的时候,Function Calling 发布了,我们第一时间就开始尝试了。我们断定这是OpenAI未来的重点,也是一个可行的路线。1/n
🚀Accelerate LLM inference on your laptop, again CPU! Up to 4x on Intel i7-12900 over llama.cpp! 🎯Code: github.com/intel/intel-ex… 📢Chatbot demo on PC: github.com/intel/intel-ex…; Hugging Face space demo locally: github.com/intel/intel-ex… #oneapi @intel @huggingface @_akhaliq @Gradio
OpenAI announced GPT-4 fine-tuning this week. Fine-tuning can remove RLHF protections from weak models, but is GPT-4 susceptible? Unfortunately yes: removing RLHF protections from GPT-4 is trivial Paper: arxiv.org/abs/2311.05553 🧵1/6
Oh man -- you can just download the knowledge files (RAG) from GPTs. I don't know if this is a security leak or "just" a prompt engineering? @OpenAI @simonw
2022 十月到英國旅行了三週,途中拜訪幾家軟體科技公司,也順便飛到葡萄牙、羅馬。結束旅程回到台灣後更確定自己有海外工作的念頭,恰逢科技業裁員寒冬,以往依靠公司贊助簽證變得有風險,在找尋其他管道時發現了英國全球人才簽證 (UK Global Talent Visa) 的存在,以下分享申請心得📝:…
Anyone who thinks Auto-Regressive LLMs are getting close to human-level AI, or merely need to be scaled up to get there, *must* read this. AR-LLMs have very limited reasoning and planning abilities. This will not be fixed by making them bigger and training them on more data.
Anyone who thinks Auto-Regressive LLMs are getting close to human-level AI, or merely need to be scaled up to get there, *must* read this. AR-LLMs have very limited reasoning and planning abilities. This will not be fixed by making them bigger and training them on more data.
🆕 The End of Finetuning latent.space/p/fastai "The right way to fine-tune language models... is to actually throw away the idea of fine-tuning. There's no such thing. There's only continued pre-training." — @jeremyphoward, who created ULMFiT with @seb_ruder back in 2018!…
Large Language Models (in 2023) An excellent summary of the research progress and developments in LLMs. I appreciate that @hwchung27 made this content publicly available. It's a great way to catch up on some important themes like scaling and optimizing LLMs. talk:…
How Transformers Work This is probably one of the most beautiful visualizations of how today's LLMs work. ig.ft.com/generative-ai/
✨ I just enrolled in AutoGPT Arena Hacks to build 🛠️ with state-of-the-art in #AI and so should you 🦄, @lablabai #lablabai #buildwithai lablab.ai/event/autogpt-…
If you’re building agents, you should think about building them hierarchically - have each agent specialize and compose them in a graph. They will perform better and fail less often 💡. Here are three key insights, curated by @ajhofmann18, showing why 🧵: Setting 🏜️: A…
突然想起年初鬧得沸沸揚揚的 CloudMosa 事件,發現 2 月底的時候判決就下來了 結論就是法院確認 CloudMosa 違法解雇,所以僱傭關係存在,要補薪水給員工 稍微掃過一遍判決書,裡面很多細節,包括 PIP 啦,還有電子簽名跟解僱條件等等,有時間可以看看 然後 CloudMosa 粉專貼文全刪了,變一片空白
橋本環錢 @c9s
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As announced today, I’m stepping down from @MOFA_Taiwan May 20. While the job was heavy at times, it’s been a tremendous honor to serve as foreign minister for the last 6 yrs. I appreciate the global support & brilliant colleagues at #MOFA. Will continue on in the same spirit. JW
书绝对是神书,虽然网友评分不高。从来没有一本书可以把 ChatGPT 的原理讲到如此透彻、易懂且深刻。 wolfram 绝对是神人,根本不用介绍说他是费曼的学生,wolfram 自己的大名就是全球范围的金字招牌。 这本书我随身带了几个月,纸书读过五遍以上,现在竟然上架微信读书了,强烈推荐。…
抄底者彎道超車的悖論? 上個月跟朋友玩阿瓦隆時,朋友聊到:「有沒有買特斯拉?」 那時候股價還在 $170,我回說:「我持續低接,平均成本大概 $180」 他認為還會再跌,跌到 $140 再進場看看;我聳聳肩,不以為意。 昨天特斯拉財報開完,從 $140 谷底反彈,不知道那位朋友現在是否睏霸數錢?…
《三重頂、頭肩頂如何形成?》 以前的我是不相信型態的,但是後來發現這其實是人類集體行為所留下的軌跡,而這些軌跡就會變成線圖。 牛市頂部發展基本上是由先知先覺、先知後覺、後知後覺三個階段構成的。…
Jared Jones just banished Brice Turang to the shadow realm
Mistral 入门指南 —— 介绍 Mistral 推出的开源 Mixtral 8x7B 模型采用了“专家混合”(MoE)架构。与传统的 Transformer 不同,MoE 模型内置多个专家级前馈网络(本模型为8个),在进行推理时,由一个门控网络负责选择两个专家进行工作。这样的设置让 MoE…
New short course with @MistralAI ! Mistral's open-source Mixtral 8x7B model uses a "mixture of experts" (MoE) architecture. Unlike a standard transformer, an MoE model has multiple expert feed-forward networks (8 in this case), with a gating network selecting two experts at…
刚刚入选福布斯AI初创50强的Unstructured @UnstructuredIO 这家公司非常值得关注。它的slogan是ETL for LLMs,即将各种文档数据处理成适合LLM使用的JSON或Markdown等格式。…
#Braves starters for Marlins series Monday: Elder Tuesday: Fried Wednesday: López (It'll be his fourth start, this one on 7 days' rest after getting six days between each of the others. He pitched three consecutive Tuesdays before this.)
Llama 3 just changed the LLM game. People are finding wild use cases at GPT-4 level. There is a massive movement in the open source community. 10 examples (and ways to use Llama 3):
DREAM - a Distributed RAG Experimentation Framework 🧑🔬 Building RAG comes with a lot of knobs that you need to tune, and it’s important that you setup the right experimentation infrastructure to build production RAG. This project by Aishwarya Prabhat provides a comprehensive…
We’re excited to release a brand-new tutorial series 💫 : an introduction to agents and tools 🎬🤖 There’s a lot of well-deserved interest around agents, but there’s also a lot of ambiguity about core agent interfaces and applications. This short course is the perfect beginner…
Lodolo's stuff looked typical today
Nick Lodolo got roughed up a bit in what is supposed to be his final rehab appearance. 2.2 IP 5 H 4 ER 0 BB 2 K #Reds
話說大語言模型 LLM 的運算和推論成本都是用 Tokens 數量來計算的,輸入的內容都得轉成 Tokens 序列來運算,輸出則轉回來。 但是呢,其實每一家用的 Tokenizer (分詞器)都不太一樣,因此相同的文本,拆出來的 tokens 數量是不一樣的。因此很多模型的推論成本比較、Context window…
🌟 Justine Tunney 是個程式語言天才,她的推論框架 llama.cpp 讓大模型在各平台上運行更快、更高效。🚀 Llamafile 項目進一步優化,使得在普通 CPU 上運行大模型成為可能,速度提升達 5 倍,源碼已開源。 github.com/Mozilla-Ocho/l…
為什麼荷包蛋洋芋片有滿滿的蛋味 其實是因為裡面用了黑礦鹽 黑礦鹽中有大量的硫化物(可食) 所以會有一股蛋味 就像去小油坑時聞到的味道 素食料理要模仿炒蛋氣味的時候也會使用黑礦鹽 現在可以買到的黑礦鹽主要來自喜馬拉雅山和夏威夷 我會覺得夏威夷的黑鹽蛋味比較沒那麼明顯 味道比較細緻
View of the eclipse from orbit