How to Make Smart Architecture Decisions when Building Generative AI Apps
Explore architectural decisions for building reliable, performant generative AI apps. Learn to make smart choices, enhance safety and accuracy, and apply best practices through real-life use cases.
Local Flux.1 LoRA Training Using AI-Toolkit
Learn to create custom LoRAs for Flux.1 image generation on your PC, enhancing style and object control. Explore the process, requirements, and potential future developments in AI image customization.
Flux.1 Image-to-Image and LLM Prompt Enhancement in ComfyUI
Explore image-to-image composition control and AI-assisted prompt enhancement in ComfyUI, featuring Flux.1 workflows and LLM integration for improved image generation.
ControlNet Union ProMax, Pixart Sigma 900M, and New ComfyUI Features
Explore new ComfyUI features: ControlNet Union ProMax, Pixart Sigma 900M, improved background removal, and more. Enhance your AI image generation capabilities with these free tools.
AI, Motion Design, and the Future of Generative Video
Explore AI's impact on motion design, from current applications to future possibilities. Gain insights on embracing AI tools, understanding limitations, and considering ethical implications in creative fields.
On AI: Discourses on Application, Convergence, and the Future of Humanity
Explore AI's impact on society, addressing challenges in ethics, transparency, and fairness. Gain insights from industry leaders on collaborative frameworks and stakeholder engagement for responsible AI development.
The Future of Computing - What to Expect in the Next Decade
Explore emerging technologies shaping computing's future, from AI-driven innovations to quantum and neuromorphic computing, and their potential impact on businesses and space manufacturing.
Microsoft AI: ML.NET Framework in C# - Transfer Learning for Image Classification
Aprende a entrenar modelos de aprendizaje profundo personalizados utilizando transferencia de aprendizaje, TensorFlow y ML.NET para clasificar imágenes de superficies de concreto.
AI and Machine Learning in Drug Discovery and Development
Explore AI's revolutionary impact on drug discovery and healthcare with Daphne Koller. Gain insights into machine learning applications in biology, protein folding, and interdisciplinary collaboration for future medical breakthroughs.
Fine-Tuning ViT Classifier with Retina Images and Converting to ONNX - Video 3
Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and convert the model to ONNX format for efficient deployment.
Fairness and Equity in Machine Learning for Healthcare
Explore fairness and equity in healthcare ML, addressing bias, challenges, and innovative solutions for equitable outcomes in medical applications and large language models.
Fine-tuning Flow and Diffusion Generative Models
Explore reward fine-tuning for dynamical generative models through stochastic optimal control, featuring a novel Adjoint Matching algorithm for improved consistency and realism.
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Explore advanced probabilistic inference techniques for language models using Twisted Sequential Monte Carlo, enhancing LLM capabilities and safety measures.
Discrete Flow Matching for High-Dimensional Discrete Data Generation
Explore Discrete Flow Matching for generating high-dimensional discrete data. Learn about probability paths, sampling techniques, and improved generative perplexity in AI applications.
Phenomics in Drug Discovery: Microscopy and Machine Learning - Day 4
Explore phenomics in drug discovery through microscopy and machine learning techniques with expert Anne Carpenter.
Less is More: Learning Signals to Learn Representations in Healthcare
Explore advancements in machine learning for MRI reconstruction and medical imaging. Discover how less data can yield more accurate representations in healthcare applications.
Divide and Conquer: Carving Out Symbolic Models from BlackBox for More Efficient Domain Adaptation
Explore techniques for extracting symbolic models from black-box systems, enhancing domain adaptation efficiency in computational genomics and medical imaging.
Applications of Deep Learning to Genomics and Digital Pathology
Explore deep learning applications in genomics and digital pathology, focusing on cutting-edge research and practical implementations in healthcare.
How to Perform In Silico Clinical Trials Using EHR
Learn to conduct in silico clinical trials using electronic health records, exploring innovative approaches to evaluate oncology trial eligibility criteria with real-world data and AI.
Out of Distribution Generalization
Explore out-of-distribution generalization techniques, focusing on nuisance-induced spurious correlations and invariant risk minimization. Gain insights into robust neural networks and counterfactual invariance.
Text Summary Model with BERT
Explore BERT-based text summarization: task overview, algorithm implementation, and model weight importing for effective summary generation.