I recently joined an AI evaluation platform and noticed they are currently looking for people with experience in: MuJoCo Reinforcement Learning Robotics Isaac Sim Gazebo ROS Physics simulation The roles are fully remote and focused on training and…
I started an Arabic educational series explaining the Transformer architecture visually. The first episode is a high-level roadmap of the original encoder-decoder Transformer from “Attention Is All You Need.” It covers: - Encoder and Decoder - Encoder…
Hi all, I’ve just finished CS231n and I’m now looking to learn how to build and train multimodal video-audio models. I’m trying to understand the practical side of: video/audio processing models alignment and fusion strategies Are there any good…
Been hitting a consistent problem across several deployments: LLM agents operate fine in testing but fail compliance review because there's no traceable decision log. The typical RAG setup gives you an answer and a source chunk.…
Hi everyone, I wanted to better understand how transformers and backpropagation work internally, so I spent the last few weeks building two small projects from scratch using only Python and NumPy: ReverseGrad — a reverse-mode automatic differentiation…
The Model Context Protocol was supposed to be the "USB-C of AI" — a universal standard for agents to talk to tools. But a new engineering analysis from Quandri paints a damning picture: • MCP tool definitions consume 21K+ tokens before any work is done…
which one should i buy Macbook air m5 (24gb ram) or Macbook pro m5 (16gb ram) , both 1tb and are more or less of the same price, i will be using it for the next 4-5 years, i am cs grad ,will be going for PHD, use case - mostly coding , prototyping etc,…
I just started a playlist where the prof says that the rigorous mathematics behind ML is necessary to learn before jumping into algos. How rigorously should I learn mathematics fundamentals? submitted by /u/DisciplineOk4044 [link] [comments]
How are people getting freelance work in AI right now? I’m an AI Engineer with \~1.5 years of experience and recently I’ve been spending time building with RAG systems, multi-agent workflows, retrieval optimization, and LLM applications.…
Hi everybody! I'm a math PhD student working on discrete differential geometry and topology, with some applications in chemistry and machine learning.…
Hey everyone~ I'm working on a side project to help junior engineers/data scientists explore research papers more easily. I've personally struggled with this, especially when I don't know where to start or get lost in prerequisites.…
Hey everyone, I’m looking to seriously level up my practical ML skills, and literally every roadmap, thread, and YouTube video points to Aurélien Géron’s Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (and the newer PyTorch-focused…
CoralOS is an open infrastructure project that's basically "Kubernetes for AI agents". They're building infra for the stuff between your agents and production - registry, runtimes, security, orchestration.…
Hey everyone, If you’ve built a multi-agent system, you already know the painful truth: wiring nodes together locally is fun, but deploying them is an absolute infrastructure nightmare. When a standard app fails, it throws a 500 error.…
I am starting ML and I have zero knowledge about it so please if anyone here can help me. Recommend me some resources like YouTube channels or books. submitted by /u/Solid-Can-4641 [link] [comments]
Today is Day 8 of my challenge: Reviewing 1 free AI certification every day, so you don’t have to waste time with bad courses. Today I reviewed Kaggle Learn’s Intermediate Machine Learning course.…
Most explanations of Transformers start with "attention is all you need" and then immediately throw a matrix multiplication diagram at you. That didn't work for me. Here's the intuition that finally made it click.…
Long story short, I had a MLbeginner project in which I had to train a dataset consisitinf of 440k rows and 15 columns on xg boost,,, I did this and made a pipeline of hyperparameter tuning in which I am doing out of fold target encoding on two columns…
