Gemma Scope is an open-source, multi-scale, high-throughput microscope system that combines brightfield, fluorescence, and confocal microscopy, designed for imaging large samples like brain tissue.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
Andrew Ng has launched a new short course on embedding models, covering their history, architecture, and capabilities. The course, taught by Vectara's Ofer Mendelevitch, explores word, sentence, and cross-encoder models, BERT training, and building dual encoder models for semantic search.
This article explores various metrics used to evaluate the performance of classification machine learning models, including precision, recall, F1-score, accuracy, and alert rate. It explains how these metrics are calculated and provides insights into their application in real-world scenarios, particularly in fraud detection.
This article provides a comparative analysis of popular embedding libraries for generative AI, evaluating their strengths, limitations, and suitability for different use cases.
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A Github Gist containing a Python script for text classification using the TxTail API
OnDemand AI provides API services for media, services, and plugins, allowing developers to upload media, use NLP, and deploy machine learning models. It also facilitates serverless application deployment and allows BYOM (Bring Your Own Model) and BYOI (Bring Your Own Inference).
Walkthrough on building a Q and A pipeline using various tools, and distributing it with ModelKits for collaboration.
A website for the Seeed Watcher, a physical AI agent for space management, with features like product catalog, ecosystem, support, and company information.