How to Uncover Anomalies in Time Series Data with Python
In this video, NeuralNine shows us how to detect anomalies in time series data using ADTK in Python. Temperature Dataset: https://datahub.io/core/global-temp
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Master the Art of Stable Diffusion with this Comprehensive Course
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Frank
- September 26, 2023
- activation function
- AI
- ai art
- artificial intelligence
- artificial neural network
- Autoencoders
- CNN
- Convolutional Neural Network
- CUDA
- cuDNN
- data augmentation
- diffusion models
- Education
- fine-tune
- generative models
- GPU
- image classification
- Image2Image
- Keras
- Learning
- Machine Learning
- neural net
- Neural Network
- Nvidia
- Python
- PyTorch
- relu
- Sequential model
- SGD
- stable diffusion
- Supervised Learning
- TensorFlow
- text encoder
- train
- Training
- Tutorial
- u-net
This video is from deeplizard. Welcome to this deeplizard course, Stable Diffusion Masterclass – Theory, Code, & Application! In this course, we learn the theory behind Stable Diffusion and get hands on experience with code and applications. .
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Kubecon 2023 Chicago Preview ft. Taylor Dolezal
With Kubecon taking place in November of this year, Stu catches up with Head of Ecosystems at the CNCF – Taylor Dolezal. The Cloud Native Computing Foundation organizes Kubecon yearly and this year Red Hat is one of their diamond sponsors. Dolezal works with infrastructure tools that enable innovation and specialize in Kubernetes, Terraform, public […]
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Learn Vector Database in 10 Mins – Hottest AI Apps DB!
This video from 1littlecoder covers Vector Databases and why it’s the hottest new DB in AI Apps.” First, we’ll introduce Vector Database and explain how it differs from traditional databases, particularly in its ability to handle high-dimensional and sparse data with lightning-fast performance. Next, we’ll explore the many use cases of Vector Database in various […]
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Are Retentive Networks A Successor to Transformer for Large Language Models?
Retention is an alternative to Attention in Transformers that can both be written in a parallel and in a recurrent fashion. This means the architecture achieves training parallelism while maintaining low-cost inference. Experiments in the paper look very promising. Yannic Kilcher elaborates.
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In the Clouds (E27) ft. Matt Butcher
In this episode of In the Clouds, join your host Stu Miniman as he sits down with Fermyon CEO Matt Butcher, amidst their release of their new NoOps Database for developers building Serverless Applications; with WebAssembly. The Cloud Tech revolutionary is also open source and partners with Red Hat often in the field. Matt Butcher, […]
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OpenShift AI helps you set up an MLOps “conveyer belt”
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Frank
- September 3, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- Generative AI
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- OpenShift
- OpenShift AI
- OpenShift Data Science
- Red Hat
- RHODS
Many developers struggle with putting a model into deployment. The difficulty of updating models in production often leads to hesitancy and delays. The concept of MLOps deals with putting models into production without it being painful or risky. With Red Hat OpenShift AI, data scientists can create models with their preferred tooling, create pipelines to […]
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OpenShift AI as a foundation
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Frank
- September 3, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- Generative AI
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- OpenShift
- OpenShift AI
- OpenShift Data Science
- Red Hat
- RHODS
Red Hat’s AI platform enables the development and deployment of models across the public cloud, data center, and edge. It manages cluster resource requests, such as scaling up and down GPUs, and fosters collaboration between developers and data scientists. All by expanding the DevOps tooling provided within OpenShift, providing additional capabilities such as model serving […]
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How to Ignite Developer Innovation with Vector Search
This episode of the AI Show will uncover the exciting possibilities of vectors in Azure Cognitive Search (preview) in tandem with Azure OpenAI Service functions. Discover how these powerful tools can enhance search capabilities, making your AI solutions smarter and more intuitive. Experience the accuracy and relevance of vector + text “hybrid search,” while tapping […]
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Universal and Transferable Adversarial Attacks on Aligned Language Models Explained
This video from Gabriel Mongaras talks about attacks against LLMs. With the popularity of LLMs and the rush to implement them, security concerns are often thought of last, if at all. If history is any guide, then this will not end well. Paper found here: https://arxiv.org/abs/2307.15043 Demo here: https://llm-attacks.org/
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