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How do LLMs learn to reason from data? Are they ~retrieving the answers from parametric knowledge🦜? In our new preprint, we look at the pretraining data and find evidence against this: Procedural knowledge in pretraining drives LLM reasoning ⚙️🔢 🧵⬇️
Model Garden by Google Cloud is badass, just be careful with your API key security lmao You can register for free and get $300 worth of credits. That's a lot to play with and they have all models as shown in the picture below. I recommend getting the free trial, no payment.
🚀 Big news! We’re thrilled to announce the launch of Llama 3.2 Vision Models & Llama Stack on Together AI. 🎉 Free access to Llama 3.2 Vision Model for developers to build and innovate with open source AI. api.together.ai/playground/cha… ➡️ Learn more in the blog…
How to write a Research Proposal (1/4)
What is a 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲? With the rise of Foundational Models, Vector Databases skyrocketed in popularity. The truth is that a Vector Database is also useful outside of a Large Language Model context. When it comes to Machine Learning, we often deal with Vector…
Writing a scientific article: A step-by-step guide for beginners (1/7)
我研发了一款沉浸式英语跟读应用，通过 AI 声音检测实现了全新的跟读体验。用户跟读完一句后，系统会自动播放下一句。真正做到一气呵成、沉浸跟读。在过去的 20 个小时里，我持续打磨细节、修复 Bug，终于网站成功上线！希望大家多多评论、转发，您的支持是我不断迭代动力！@blackanger
Run evals—directly from the OpenAI dashboard. Use your test data to compare model performance, iterate on prompts, and improve outputs. platform.openai.com/docs/guides/ev… Here's a quick walkthrough:
Can LLMs reason effectively without prompting? Great paper by @GoogleDeepMind By considering multiple paths during decoding, LLMs show improved reasoning without special prompts. It reveals LLMs' natural reasoning capabilities. LLMs can reason better by exploring multiple…
在 GitHub 上发现一款强大可离线的开源 AI 桌面应用：ScreenPipe。 它能够对你的电脑进行 24 小时监控，通过屏幕录制、OCR、音频输入和转录收集信息，并保存到本地数据库。 GitHub：github.com/mediar-ai/scre… 最后，利用 LLMs 直接对话、总结、回顾，你所在电脑上做过的事情。有点猛呀！
最近电脑代理工具都换 Mihomo Party 了，强烈推荐下。 1. 开源免费，支持 Windows、macOS 和 Linux，下载直接给你中文版本选择，对新手非常友好 2. 基于 Clash 二次开发，无缝支持 Clash 配置文件 3. 界面美观易用，打开就有非常详细的引导 4. 内置 Sub-Store 官网下载：mihomo.party
LLaVA-o1 is the first visual language model capable of spontaneous, systematic reasoning, similar to GPT-o1! 🤯 11B model outperforms Gemini-1.5-pro,GPT-4o-mini, and Llama-3.2-90B-Vision-Instruct on six multimodal benchmarks.
Transformer by hand ✍️ in Excel ~ I just released my first-ever "Full-Stack" implementation of the Transformer model. 👇Download xlsx to give it a try!
语音理解性能逼近GPT-4o的一款开源多模态实时语音模型：Ultravox v0.4.1，直接理解文本和人类语音，无需单独的ASR，目前支持文本输出 首次响应时间150毫秒，生成速度约60token/秒 基于Llama3.1-8B、whisper构建 github：github.com/fixie-ai/ultra… @Gradio huggingface.co/spaces/freddya… #AI实时语音…
Audio LMs scene is heating up! 🔥 @FixieAI Ultravox 0.4.1 - 8B model approaching GPT4o level, pick any LLM, train an adapter with Whisper as Audio Encoder, profit 💥 Bonus: MIT licensed checkpoints > Pre-trained on Llama3.1-8b/ 70b backbone as well as the encoder part of…
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