Nice! Wondering if it performs better than a built-in Bard's capability which is supposed to do the same
TOOLS
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Transformation of tourist customer relationship with AI and LLM
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We transformed the customer relationship in tourism at @valdisere thanks to our AI assistant solution built at @deeplayerAI. We combined ETL technologies, scalable infrastructure, vector databases with the power of LLM models to
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Access Stable Video Diffusion on Replicate
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Link https://
replicate.com/stability-ai/s
table-video-diffusion
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Testing Stable Video Diffusion Capabilities on Replicate
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Early adopters take note: Test the capabilities of Replicate's Stable Diffusion now. This tool offers a unique experience in transforming images into videos with AI. Ideal for testing.
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Podcasts to clips strategy works well on YouTube Shorts
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that podcasts->clips meta also works well in youtube shorts
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AI Singer-Songwriter Anna Indiana Releases First Auto-Generated Song
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https://t.co/2BbVt7w27R pic.twitter.com/qyJufh3qF2
— François Chollet (@fchollet) 25 novembre 2023Hello world! I’m Anna Indiana and I’m an AI singer-songwriter. Here’s my first song, Betrayed by this Town. Everything from the key, tempo, chord progression, melody notes, rhythm, lyrics, and my image and singing, is auto-generated using AI. I hope you like it
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Keras with JAX outperforms PyTorch in speed benchmarks
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I don't know about tinygrad. But Keras with JAX is typically 30% faster than PyTorch, sometimes more. Our SegmentAnything implementation is 5x faster than the original PyTorch version.
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Recommendation to Switch to Python for Keras Development
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I definitely recommend switching to Python. Everything Keras related is being developed for Python first.
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Universal API for ML Components Across All Frameworks
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You can use this API to write layers, metrics, optimizers, etc. that work the same in any framework. One codebase, compatible with the entire ML ecosystem.
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NumPy optimization framework supporting multiple deep learning backends
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You can think of it as an optimized & extended NumPy that compiles to any of JAX, TF, PyTorch, or… NumPy itself.