GPT-4 API with Streaming Responses, Chat History, Streamlit, Gradio UI, JavaScript, FastAPI Webapp
Comprehensive tutorial on implementing GPT-4 API with streaming, chat history, and various UI options. Learn to build interactive AI-powered applications using Streamlit, Gradio, and FastAPI.
GPT-4 Codes Animations with JavaScript and Python Pygame
Learn to create HTML canvas animations with JavaScript and convert them to Python Pygame, guided by GPT-4. Explore increasing complexity in coding and witness AI's capabilities in cross-language programming.
Langchain Summary and QA with Chromadb Using OpenAI Embeddings and GPT-3 With Token Count
Build 5 Langchain apps for document summarization and Q&A using Chromadb, OpenAI embeddings, and GPT-3. Learn token counting, custom prompts, and various chain types for efficient text processing and analysis.
Raspberry Pi AI - Picroft Voice Assistant
Learn to install and configure Picroft, an open-source voice assistant, on Raspberry Pi 4. Explore device pairing, WiFi setup, audio configuration, and various AI functionalities in this hands-on tutorial.
Multi-Scale Multi-Band DenseNets for Audio Source Separation
Explore multi-scale multi-band DenseNets for audio source separation, featuring innovative architecture with up-sampling, block skip connection, and band-dedicated dense blocks to improve performance and efficiency.
UniFormer
Explore video understanding with UniFormer, a novel approach addressing inefficiencies in video transformers for improved performance and pose estimation.
Towards Real World Blind Face Restoration with Generative Facial Prior
Explore generative facial priors for real-world blind face restoration, including GFP-GAN, degradation removal, and channel-split spatial feature transform techniques.
Not Another Transformer, NNFormer Explained!
Explore nnFormer, a novel AI model architecture, its envelope, mass data handling, and experimental results in this comprehensive overview.
DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis
Learn about DF-GAN, a deep fusion architecture for text-to-image synthesis. Explore its simplified backbone, gradient penalty, and deep fusion block, with quantitative and qualitative results.
A Lip Sync Expert Is All You Need for Speech to Lip Generation in the Wild
Learn to generate realistic lip movements from speech using advanced AI techniques, exploring models, evaluation methods, and real-world applications in this cutting-edge field.
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition
Explore innovative techniques for improving speech recognition using reinforcement learning-based speech enhancement, covering key concepts and potential future advancements.
Machine Learning for the 99%
Strategies for small and medium-sized organizations to overcome challenges and implement machine learning in real-world applications, focusing on product definition, data, deployment, and ethics.
Personalized Machine Learning
Explore principles of personalized machine learning across recommender systems, language processing, and computer vision. Learn about techniques, applications, and ethical considerations in tailoring predictions to individual users.
How to Effectively Scale ML & AI in Any Organization
Learn key principles for scaling ML & AI in organizations, covering data culture, model integration, and practical insights from Shopify's experience serving global entrepreneurs.
Deploying Optimized Deep Learning Pipelines
Survey of deep learning pipeline optimization techniques, exploring quantization, distillation, and math library selection. Discusses trade-offs for deployment and provides insights for efficient ML implementation.
Scaling AI Applications with Ray - Richard Liaw & Eric Liang | ODSC East 2019
Explore Ray, a distributed execution engine for AI workloads. Learn about Tune for hyperparameter optimization and RLib for reinforcement learning, with insights on scalability and practical applications.
Explainable AI - Methods, Applications & Recent Developments
Explore Explainable AI methods, applications, and developments with Dr. Samek. Learn about Layer-wise Relevance Propagation for various data types and neural architectures, and discuss challenges in the field.
Probabilistic Deep Learning in TensorFlow - The Why and How - ODSC Europe 2019
Explore probabilistic deep learning in TensorFlow, focusing on Bayesian techniques, uncertainty modeling, and practical applications using TensorFlow Probability for more robust and interpretable neural networks.
Meaning Representation for Natural Language Understanding - Mariana Romanyshyn - ODSC Europe 2019
Explore abstract meaning representation in NLP, its algorithms, and applications. Learn about AMR graphs and their potential to enhance question answering, summarization, and text simplification.
Reinforced Active Learning for Image Segmentation
Explore advanced techniques for image segmentation using reinforced active learning, covering challenges, algorithms, and experimental results.
CNN Explainer - Learning Convolutional Neural Networks with Interactive Visualization
Interactive visualization tool for understanding convolutional neural networks, covering layers, filters, padding, activation, and pooling. Enhances learning through hands-on exploration.