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EfficientVMamba Atrous Selective Scan for Light Weight Visual Mamba Prior efforts in light-weight model development mainly centered on CNN and Transformer-based designs yet faced persistent challenges. CNNs adept at local feature extraction compromise resolution while
Dive into Deep Learning [1151-page PDF eBook provided by the author @smolix] alex.smola.org/projects.html -or- Buy it here: amzn.to/3vaycS0 ———— #BigData #DataScience #AI #MachineLearning #DeepLearning #Algorithms #Mathematics #Calculus #NeuralNetworks #Python #DataScientists
👉 LearnOpenCV This repo contains code for Computer Vision, Deep learning, and AI articles. 🔗 github.com/spmallick/lear…
Understanding and interpreting machine learning models is more than just a skill—it's a necessity for responsible AI development. As machine learning engineers, our goal is not only to develop high-performance models but also to ensure they are transparent, interpretable, and…
Causal ML is in high demand for Marketing Analytics. But, 90% of data scientists find Causal ML difficult to implement. In 3 minutes, I'll share 3 months of research. Let's go! 💡I'm teaching it on Wednesday (and you're invited). Let's dive in. 1. Causal machine learning is a…
90% of data scientists struggle with A/B testing and Causal Inference. But there are secrets to learn from companies that have mastered it. In 3 minutes, here's 3 months of research. I'm gearing up for my Causal Inference workshop for Marketing Analytics on Wednesday. And here's…
You must understand Histograms before learning about distributions. Let me explain:
Meta presents: Teaching Large Language Models to Reason with Reinforcement Learning Finds the sample complexity of Expert Iteration is similar to that of PPO and performs the best among all algorithms arxiv.org/abs/2403.04642
Meta announces Teaching Large Language Models to Reason with Reinforcement Learning Reinforcement Learning from Human Feedback (RLHF) has emerged as a dominant approach for aligning LLM outputs with human preferences. Inspired by the success of RLHF, we study the performance
Learning to Decode Collaboratively with Multiple Language Models We propose a method to teach multiple large language models (LLM) to collaborate by interleaving their generations at the token level. We model the decision of which LLM generates the next token as a latent
𝗚𝗮𝗿𝘁𝗻𝗲𝗿’𝘀 𝗧𝗼𝗽 𝟭𝟬 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗧𝗿𝗲𝗻𝗱𝘀 𝗼𝗳 𝟮𝟬𝟮𝟰 I've just released the new issue of my 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 to more than 27k+ addresses. This issue brings to you: 🔹 𝗚𝗮𝗿𝘁𝗻𝗲𝗿’𝘀 𝗧𝗼𝗽 𝟭𝟬 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰…
This is actually an excellent demo of a highly capable LLM-RAG setup. Had the pleasure of experimenting with it as an early reviewer, and I was genuinely impressed. Tested it on a recent LoRA/DoRA repository of mine that could not have been part of the Mistral training data yet…
Let's build a "Chat with your code" RAG application, step-by-step:
A/B Testing and Causal Inference are stuck in the dark ages. Enter Causal ML. Let's dive in. 1. Causal machine learning (ML) refers to a branch of machine learning that focuses on understanding and modeling the causal relationships in data, rather than just finding correlations.…
Knowledge-Augmented Planning for LLM Agents Proposes an approach to enhance the planning capabilities of LLMs through explicit action knowledge. It uses an action knowledge base and a knowledgeable self-learning phase to guide the model's action generation, mitigate planning…
RAG for AI-Generated Content Cool survey paper providing an overview of RAG used in different generation scenarios like code, image, audio,... I like the taxonomy of RAG enhancements and it seems to mention a lot of key RAG papers.
Interesting open-source library for video generation. Open-Sora seems to be powered by Colossal-AI and supports dynamic resolution, different model structures, supports multiple video compression methods, parallel training optimization, and more. Check it out:…
🚀 🌐 Build your own video generation model like #Sora! Experience the power of replication without the price tag! Open-Sora delivers a low-cost implementation of Sora, cutting costs by a staggering 46%. Expand your sequences to nearly a million with this innovative open-source…
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