New YT video from @1littlecoder covering our launch of Tools inside HuggingChat Cool review! https://
youtu.be/ihZXGy-BON8
TOOLS
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HuggingChat Tools Launch Reviewed by 1littlecoder
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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.
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Dealing with random MPI hangs in large model training
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I thought I didn't have to deal with these, but already the 350M model (14 hours of 8 GPUs working) sometimes randomly hangs with a cryptic MPI error once in a while. So I have to put the whole optimization into a `while 1` loop and a script that watches the log file and sends
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Start Latency Issues with Dataset Tokenization in Python
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TIL, will look into! The thing that makes this a bit complicated right now is the start latency. What bloats up the setup time right now is the dataset and its tokenization, which is all done in Python right now. Installing huggingface datasets, downloading FineWeb 10B and
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Explore and Compare All LLMs with ChatLLM Teams
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Play around and compare and contrast all LLMs with ChatLLM Teams!https://t.co/5QdaueRsfN pic.twitter.com/avSTiUwLDQ
— Abacus.AI (@abacusai) 28 mai 2024Play around and compare and contrast all LLMs with ChatLLM Teams! https://
chatllm.abacus.ai -
DataRobot Snowflake Integration Accelerates Enterprise AI Solutions
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One week until Snowflake Data Summit! Discover how DataRobot accelerates enterprise-ready AI solutions for your organization with the latest integrations from @SnowflakeDB
. Visit us at booth #1212, book a 1:1 session, or join our breakout session with financial services -
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.