Top stories in AI today: -OpenAI begins training the next model
-Former OpenAI safety co-lead joins Anthropic
-Create unique AI music tracks in seconds
-Google Chromebooks get AI infusion
-6 new AI tools & 4 new AI jobs Read more: http://
therundown.ai/p/sam-altmans-
new-safety-squad
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TOOLS
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OpenAI trains next model; safety lead joins Anthropic; AI tools launched
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Access Multiple LLMs in Single AI Playground for $10
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With just $10 you can access GPT-4o, Claude, Llama 3, Gemini and more LLMs in single AI playground. First month is free, try it out now: http://
chatllm.abacus.ai/?token=ss -
Building and Deploying Custom AI Assistants with RAG
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Step-by-step tutorial on building and deploying custom AI assistants with RAG without writing a single line of Python Code.
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Video editing tools for AI-generated shorts production
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Like the style of all your shorts, consistent, with precisely managed zoom in/out and focus shifts. what tool do you use to record and edit?
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Anthropic testing refreshed UI and sidebar layout for chat interface
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Anthropic seems to be preparing a refreshed UI for its "new chat" page This change is part of a layout redesign where chat history moves to the side panel. Does it look better to you?
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HuggingChat Tools Launch Reviewed by 1littlecoder
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New YT video from @1littlecoder covering our launch of Tools inside HuggingChat Cool review! https://
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HuggingFace Integrates Command R+ Tools in HuggingChat
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Congrats to @HuggingFace for making tools available in HuggingChat! We're happy that Command R+ was chosen to power the experience.
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Keras Compiles to JAX, TensorFlow, PyTorch with JAX Recommended
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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.
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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.