AI Hardware and Real-world AI - JuliaCon 2024
Explore AI's computational impact, from theoretical understanding to efficient hardware design. Gain insights on optimizing AI models for real-world applications across various computational scales.
Climbing the Ladder of Causation Toward Mid-Level Vision
Explore mid-level visual concepts and their origins through Counterfactual World Models, examining how unsupervised algorithms can enhance machine and biological vision understanding.
AI App of the Week: OpenAI-o1 Investment App with Chain Prompting - Tutorial
Build an AI-powered investment app using chain prompting, frontend design, backend development, and image generation. Learn to integrate OpenAI models for financial analysis.
MLOps at the Age of Generative AI - Podcast Episode 169
Explore MLOps in the era of generative AI with insights on developing, training, and serving large language models. Gain practical knowledge on evaluating use cases and addressing challenges in AI product development.
Scaling MLOps for Computer Vision - MLOps Mini Summit Meetup 4
Explore MLOps strategies for scaling computer vision, including Flyte for AI product development, its application at Recogni, and lessons from running AI models at scale for planetary satellite imagery analysis.
Inferring Creativity - Rethinking the Nature of Creativity in the Age of Generative AI
Explore the nature of creativity and AI with GIPHY's VP of Machine Learning. Gain insights on generative models, product development, and the evolving AI landscape in this thought-provoking discussion.
From Robotics to Recommender Systems - MLOps Podcast #240
Explore robotics, computer vision, and recommender systems with Miguel Fierro. Gain insights on ML applications, sports analytics, and AI integration in various fields from a Microsoft Principal Data Science Manager.
Building Production-Ready AI Models for Manufacturing - LatticeFlow Roundtable
Explore production-ready AI models for manufacturing with industry experts. Uncover solutions to data challenges, model failures, and integration issues for robust, safe AI systems.
AI for Good - Detecting Harmful Content at Scale
Explore AI-driven strategies for detecting harmful online content at scale, optimizing speed and accuracy while addressing cultural sensitivities and evolving challenges in content moderation.
Reliable LLM Products Fueled by Feedback - MLOps Podcast #251
Explore user-centric approaches for reliable LLM products. Learn to convert feedback into actionable insights, analyze root causes, and optimize AI solutions for real-world deployment across various industries.
Fine-Tuning ViT Classifier with Custom Data and Docker Inference - Part 4
Fine-tune a ViT classifier with custom data and deploy using Docker and FastAPI for efficient image classification in production environments.
DALL-E and Stability.AI: Text-to-Image Models for Data Science and Machine Learning
Explore DALL-E and Stability.AI text-to-image models, learning to generate, edit, and save AI-created images using practical notebooks and hands-on examples.
Computer Vision: OCR Comparison - Tesseract vs PaddleOCR
Explore OCR techniques using Tesseract and alternatives, comparing offline solutions for computer vision and text recognition in data science and machine learning.
Azure AI Computer Vision OCR: Image and Document Intelligence Services
Aprende a utilizar Azure AI Services para OCR de imágenes y documentos con Computer Vision y Document Intelligence.
CPU Inference with ViT ONNX Model in Azure ML Managed Endpoint - AKS
Deploy a Vision Transformer model for CPU inference on Azure Kubernetes Service using ONNX format and Azure ML SDK v2. Learn to create managed endpoints in Azure ML Studio.
Geometric Algebra Transformers: Revolutionizing Geometric Data
Explore GATr's revolutionary approach to geometric data processing, enhancing computer vision, robotics, chemistry, and physics with efficient 16-dimensional vector space representations and E(3) equivariance.
Foundational Methods for Foundation Models in Scientific Machine Learning - Lecture 6
Explore foundational methods for scientific machine learning models, addressing challenges in integrating data-driven ML with domain-driven scientific computing methodologies.
Differentially Private Diffusion Models Generate Useful Synthetic Images
Explore privacy-preserving synthetic image generation using diffusion models. Learn techniques for fine-tuning pre-trained models to achieve state-of-the-art results on CIFAR-10 and Camelyon17 datasets.
Understanding and Mitigating Copying in Diffusion Models
Explore frameworks for detecting replication in diffusion models, identify memorization factors, and learn techniques to reduce data replication during training and inference.
Processing Very Large Image Volumes with the Adaptive Particle Representation
Explore advanced techniques for processing massive image datasets using adaptive particle representation, enabling efficient visualization and analysis of terabyte-scale biomedical data.
Developing AI Applications in Java with Quarkus and Langchain4j
Explore AI application development using Quarkus and Langchain4j. Learn to build chatbots, autonomous agents, and leverage image-generating models in Java for cloud-native AI solutions.