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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
please show me how to log training output_name model of the current training run
<wandbot.chat.chat.Chat object at 0x12c117680>
You can log your training output model to Weights & Biases using `run.log_model()` or by creating a `wandb.Artifact` and logging it. Both methods allow you to version your models and track their lineage within your W&B runs.
Here's how you can log your training output model:
**Method 1: Using `run.log_model()`**
The `run.log_model()` API is a convenient way to log a model artifact. It automatically marks the model as an output of the current run and allows you to specify a name and aliases.
...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
Can multiple users write to the same stream table?
<wandbot.chat.chat.Chat object at 0x121c41880>
While the provided context does not directly address whether multiple users can concurrently write to the same stream table, it does offer insights into how tables are handled in Weights & Biases, particularly in the context of artifacts and logging.
Here's what the documentation suggests about W&B Tables:
* **Versioning**: Each time a table is logged to the same key, a new version of the table is created and stored in the backend. This implies that logging is an append-only operation, creat...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
What are some great resources for me to better understand Weights & Biases usage for Deep Learning?
<wandbot.chat.chat.Chat object at 0x12c117680>
Weights & Biases offers a variety of resources to help you understand its usage for Deep Learning, including documentation, tutorials, and examples.
Here are some great resources:
* **Official Documentation**: The main Weights & Biases Documentation provides comprehensive guides on various features, including how W&B works with runs, experiments, artifacts, sweeps, and reports, all of which are crucial for deep learning workflows[^10].
* **Resources for Educators, Teaching Assistants, and ...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
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How can weights & biases help when building llm-powered apps?
<wandbot.chat.chat.Chat object at 0x12c117680>
Weights & Biases (W&B) provides a comprehensive platform to assist in building LLM-powered applications, offering tools for experiment tracking, evaluation, and model management.
Here's how W&B can help:
* **Experiment Tracking**: W&B allows you to methodically track your LLM experiments. You can log input and output pairs, save the JSON schema for response models, and capture snapshots of your model and data. This enables you to compare results over time and observe how changes to your mode...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
Can I get an enlarged/focused view for charts?
<wandbot.chat.chat.Chat object at 0x131b178c0>
Yes, you can get an enlarged or focused view for charts in W&B. This is referred to as "full-screen mode" for panels and "full fidelity" for line plots, which allows for detailed data exploration.
Here's how you can achieve an enlarged/focused view:
* **Full-screen mode for panels**:
1. Hover over the panel you wish to enlarge.
2. Click the panel's action menu (three horizontal dots).
3. Click the full-screen button, which resembles a viewfinder or an outline showing the four ...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
is there an example of how to use Launch on Sagemaker using BYOI (Bring your own image)?
<wandbot.chat.chat.Chat object at 0x12c117680>
Yes, you can use W&B Launch on SageMaker with your own Docker image (BYOI).
Here's how you can configure W&B Launch to use a custom Docker image on SageMaker:
**1. Prerequisites:**
Before you begin, ensure you have the following AWS resources set up in your preferred AWS region:
* An ECR repository to store your container images.
* One or more S3 buckets to store inputs and outputs for your SageMaker Training jobs.
* An IAM role for Amazon SageMaker that allows SageMaker to run training ...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
how can I get the path to where an artifact is being written?
<wandbot.chat.chat.Chat object at 0x12c117680>
When you log an artifact using `run.log_artifact()`, you specify the path to the data you want to version. This path is where the data exists locally before it's uploaded to Weights & Biases[^3].
Here's how you typically log an artifact and specify its path:
```python
import wandb
import random
# Initialize a W&B run
run = wandb.init(project="my-project")
# Create a simulated file that you want to log as an artifact
file_path = "my_model.txt"
with open(file_path, "w") as f:
f.write("Mode...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
does weights and balances have an integration with LangChain?
<wandbot.chat.chat.Chat object at 0x15813e120>
Yes, Weights & Biases has an integration with LangChain. This integration, known as W&B Prompts, is a suite of LLMOps tools designed for developing LLM-powered applications. It allows you to visualize and inspect the execution flow of your LLMs, analyze inputs and outputs, view intermediate results, and securely store and manage your prompts and LLM chain configurations [^1], [^2].
### How to integrate Weights & Biases with LangChain
You can integrate W&B with LangChain in a few ways:
1. **U...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
I am logging some metrics using wandb.log method and I have runs grouped by Group. Within that group each run has the metrics logged. While analyzing the runs in the table format on the UI previously before some days it would show average metric of the runs within the group next to the group name, but it's showing basically nothing now. Has anything changed in wandb ?
<wandbot.chat.chat.Chat object at 0x131b178c0>
It sounds like you're observing a change in how averaged metrics are displayed for grouped runs in the W&B UI.
Previously, W&B allowed you to view averaged values on a plot by using the Grouping feature in the table and selecting "All" to show averaged values in your graphs[^7].
However, recent updates to the W&B App UI have introduced new ways to view and interact with run data, including:
* **Tables and Query panels**: In Tables and Query panels that use `runs` or `runs.history` expressio...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
In the Runs view / Workspace, what button do we push to hide the sidebar with the list of all the run names?
<wandbot.chat.chat.Chat object at 0x121c41880>
In the W&B App UI, specifically within the **Workspace** tab, the button to hide or expand the sidebar with the list of all run names is called the **Expand button**[^2]. This button allows you to expand the sidebar into a full table view[^2].
To navigate to the Workspace tab:
1. Go to the W&B App UI at `https://wandb.ai/home`[^7].
2. Navigate to your W&B project[^7].
3. Select the **Workspace** tab in the project's sidebar[^7].
**Sources**:
- [^2]: [Project Page - Workspace tab](https://docs....
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
what are best practices for logging artifacts that optimally wont consume all of my storage.
<wandbot.chat.chat.Chat object at 0x12c117680>
To optimally manage storage consumption when logging artifacts in Weights & Biases, consider the following best practices:
* **Use Reference Artifacts**: Instead of uploading files directly to W&B storage, use reference artifacts to track files saved outside the W&B system (e.g., in Amazon S3, GCS, or HTTP). This allows W&B to track the metadata and lineage without storing the actual data on its servers, significantly reducing your storage footprint[^1], [^2].
* **Set TTL Policies on Artif...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
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Can public cloud customers make W&B reports accessible to their colleagues without W&B access?
<wandbot.chat.chat.Chat object at 0x121c41880>
Yes, public cloud customers can make W&B reports accessible to their colleagues even if they don't have W&B access. You can achieve this by making the project containing the report public or by sharing a view-only link via the report itself.
Here's how:
* **Make the Project Public**: You can make an entire project public, which will make all reports within that project visible to anyone. To do this:
1. Access the project page in the Weights & Biases web app.
2. Click the lock icon ...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
How can I stop a run in the web interface?
<wandbot.chat.chat.Chat object at 0x121c41880>
You can stop a run in the Weights & Biases web interface by following these steps:
1. Navigate to the project where your run is logging.
2. Select the run you wish to stop from the run selector.
3. Go to the **Overview** tab in the project sidebar.
4. Click the top button located next to the **State** field.
After performing these steps, the run's state will change from `running` to `Killed` [^1], [^2].
While you can stop a run through the web interface, you can also stop a run programmat...
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wandbot_v1.3.3_re-add-few-shot_tidy-xml_prompt-xml_fixed-gemini-system-prompt_v56-index_flash-lite_flash
en
Can you introduce me wandb? I'm a beginner.
<wandbot.chat.chat.Chat object at 0x12c117680>
Weights & Biases (W&B) is an AI developer platform that provides tools for training and fine-tuning models, as well as leveraging foundation models. It helps with machine learning experiment tracking, model checkpointing, and team collaboration[^1].
W&B consists of three major components: Models, Weave, and Core[^1].
Here's how W&B can help you and how to get started:
**What problems does W&B solve?**
W&B helps you:
* **Track machine learning experiments**: It allows you to log and visualiz...
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