1/ Diffusion Models can generate high-quality images given a prompt. How do their algorithms work? Let's dive in! 👇 @DeepLearningAI @realSharonZhou @AndrewYNg
🤖 Introducing MINERVA: A multi-agent AI system harnessing 7 specialized LLM agents to detect digital scams. Built with #AutoGen as part of the @BerkeleyRDI #LLM #Agents course: 🎓LLM-Agents Course: llmagents-learning.org/f24 📄Full article: huggingface.co/blog/dcarpinte…
🧠 Curious about emerging NLP research topics? Dive into our step-by-step guide! We analyzed 25k+ #arXiv papers using #embeddingquantization and #LLMs. Built w/ @huggingface, @pydantic, @LangChainAI, @MistralAI, and @AnthropicAI #AI huggingface.co/blog/dcarpinte…
huggingface.co
Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Comput...
Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Comput...
A gentle guide to build, train, and deploy a #neuralnetwork from scratch for image classification! Dive into the approximation theorem, parameter initialization, regularization, gradients, and backpropagation. @huggingface #DeepLearning #Python huggingface.co/blog/dcarpinte…
huggingface.co
Building a Neural Network Classifier from the Ground Up: A Step-by-Step Guide
Building a Neural Network Classifier from the Ground Up: A Step-by-Step Guide
The sixth annual Forbes AI 50 list is now live. There were many impressive companies that didn't make this year's top 50. We had over 1,900 applicants for just 50 slots. The process from 1,900 to top 100 is fully algorithmic based on metrics like revenue scale, revenue growth,…
To close out 2023, here are 10 of the most interesting AI research advancements we shared on our feed this year — and where you can find more details on the work. 1️⃣ Segment Anything (SAM) A step toward the first foundation model for image segmentation. Details:…
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