Keras code compiles to JAX, TensorFlow, or PyTorch code, so anything you can do with one of these frameworks you can do with Keras. I recommend using JAX as your backend, as it is suitable for very-large scale computation and can be easily parallelized across many devices.
SOFTWARE
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GPU acceleration and XLA compilation limitations in framework integration
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But then you would not be able to run it on GPU, nor compile to XLA for a ~5x speedup, nor use it inside a TensorFlow codebase or a PyTorch codebase.
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Keras ops API: NumPy syntax across JAX PyTorch TensorFlow
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A neat feature of Keras is that its `keras.ops` API follows the NumPy API syntax exactly. And since it runs on JAX, PyTorch, TensorFlow, and NumPy itself, you can use Keras to write GPU-accelerated NumPy code that runs with any framework.
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Snowflake CFO Explains Unique Database and Data Sharing Approach
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Please enjoy my interview with Snowflake CFO Mike Scarpelli Snowflake CFO explains a few things you don’t understand about this business Many people don’t understand just how unique the Snowflake way of running a gigantic database is, or its approach to data sharing, says CFO
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Ollama: Running Open-Source LLMs Locally on Your PC
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Ollama is a tool designed for this purpose, enabling you to run open-source LLMs like Mistral, Llama2, and Llama3 on your PC. Running LLMs can help to maintain privacy, reduced latency, and customisation as per your requirements.
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Running Large Language Models Locally: Privacy and Performance Benefits
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Large language models (LLMs) are being used in various applications, from chatbots to content generation. While cloud-based LLMs are popular, running them locally has advantages like enhanced privacy, reduced latency, and more customisation.
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Running Multiple Open Source LLMs Locally with Ollama
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Running Multiple Open Source LLMs Locally with Ollama Check out this awesome blog on how to run LLMs on your local machine and build applications with ease
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Voyager SDK enables YOLOv5 L PPE detection deployment
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Explore the ease of our Voyager SDK in this video with @fogsphere. In just minutes, they effortlessly deployed the #Yolov5 L model for PPE detection with our AI acceleration technology. Don't miss your chance to innovate with our Metis AI platform. https://t.co/XYy5Ncb30k pic.twitter.com/i8L2DqNkyb
— Axelera AI (@AxeleraAI) 28 mai 2024Explore the ease of our Voyager SDK in this video with @fogsphere
. In just minutes, they effortlessly deployed the #Yolov5 L model for PPE detection with our AI acceleration technology. Don't miss your chance to innovate with our Metis AI platform. https://
tinyurl.com/244md3rf -
Pymiere: Python automation tool for Premiere video workflow
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Uso Pymiere, que conecta Python con Premiere. Entonces por ejemplo cuando descargo los vídeos automáticamente los convierte a H264 y los importa a Premiere donde toca. Lo próximo es que si es en inglés se importen con los subtítulos puestos.