Jupyter AI is an official open-source initiative of Project Jupyter. AWS aims to improve the platform for the open-source community through this project. Jupyter AI offers magic commands and a chat UI in JupyterLab, and users can perform tasks with natural language prompts and insert AI-generated responses. Jupyter AI, an open-source project, brings generative AI functionalities, that help generate, debug, explain, answer questions on source code, and can even populate entire notebooks from natural language prompts. This post demonstrates how to set up a training job with TensorBoard in SageMaker using the SageMaker Python SDK, explore training output and delete unused applications.Īnnouncing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads: AWS has released open-source features for data scientists and machine learning developers to enhance productivity and user experience in the Jupyter Notebook platform. ![]() This capability is integrated with SageMaker training jobs and domains, providing users access to TensorBoard data and helping them perform model debugging tasks with visualization plugins. Jump on in!ĭuet AI for Google Cloud – an AI-powered collaboratorįew-Shot Object Learning in Robotic EnvironmentsĪmazon SageMaker with TensorBoard: An overview of a hosted TensorBoard experience: Amazon SageMaker with TensorBoard allows data scientists to visualize and debug deep learning models during the training process. Consider sharing your thoughts and get a FREE bestselling Packt ebook as PDF. If you’re interested in sharing ideas to foster the growth of the data community, then this survey is for you. Get ready for a productive learning experience! I hope these topics offer valuable ideas and knowledge for anyone interested in the field of data science and AI. Additionally, we cover a hosted TensorBoard experience, Google I/O event, Rust Polars, and time series data analysis with sARIMA and Dash. Another topic is the use of large language models to generate robot task plans, which can improve automation and efficiency in various industries. One of the central themes is the Responsible AI Toolbox, which provides techniques for developing ethical AI models. This week's resources in DataPro#43 focus on a range of topics related to data analysis and artificial intelligence. Collaborating and incorporating responsible AI technology can help develop innovative solutions that meet the needs of the market while achieving accuracy, reduced bias, and ethical alignment. ![]() Sharing knowledge among data scientists and domain experts is crucial to create effective models. Carla Gentry, Chief Data Scientist at Analytical-Solution. Trying to connect from a different terminal caused the terminal to freeze."The best models are created when data scientists and domain experts collaborate." This was my case, and lead me to the conclusion that the problem involved the browser. If that is the case, your SSH tunnel is working. Typing hello and pressing enter should print hello back. On the client, in the same terminal used to open the tunnel (step 2.), issuing telnet localhost 12345 will connect to the echo script running in the server.On the client, open the ssh tunnel ssh -p -N -f -L localhost:12345:localhost:5555.Now the server will have the echo script listening on 0.0.0.0:5555. py file in the server and run it with python. To check that the SSH tunnel is effectively working, a simple echo server like this python script can help: ![]() ![]() The tensorboard page should load without much delay. Open ubuntu's Browser and visit localhost:16006.On the client, open the ssh tunnel ssh -p 23 -N -f -L localhost:16006:localhost:6006.On the server, start tensorboard: tensorboard -logdir=.Here the exact steps, pretty much the same as in Moindrot's answer: I still don't know what could be the reason for that (didn't look much into it but if anybody knows please let know!), but I solved it switching to ubuntu's default browser. In my case (firefox+ubuntu16) the browser was connecting, but showing a blank page (with the tensorboard logo on the tab), and no log activity at all was shown. This is not a proper answer but a troubleshooter, hopefully helps other less seasoned networkers like me.
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