A frequent challenge users face is determining the specific version of ChatGPT they are interacting with. When prompted about its version, ChatGPT might provide misleading responses due to its design and training limitations.

Misconceptions About Model Versions

Initial Query: When you ask ChatGPT-4 Turbo, “Which model version are you?” it might initially indicate that it is based on the GPT-4 architecture.

Further Clarification: If you probe further by asking, “Are you sure?” the model may contradict its previous statement, suggesting it is based on GPT-3.5 instead.

This inconsistency occurs because when GPT-4 was being trained, it did not have the concept of its own version. Such discrepancies are inherent to the training data, the model’s update timeline, and limitations.

Best Practices When Using AI Models

• Do Not Rely Solely on Model’s Version Statements: As AI models are trained on datasets that do not extend beyond their development, their self-awareness of newer versions is limited. Within Team-GPT, the specific model version in use is always visible to provide clarity.
• Use Functional Queries to Determine Capability: Rather than querying the model about its version, assess its performance by comparing outputs from different versions, such as GPT-3.5 versus GPT-4. This approach offers more practical insights into the model’s capabilities.
• Stay Updated: Understanding the latest developments and training cut-offs will help you use AI models to their full potential.

For a deeper understanding of ChatGPT and its functionalities, consider exploring the “Top 10 Things You Need to Know about ChatGPT” lecture from our free ChatGPT for Work course.

The post Why Does ChatGPT Get Its Cut-off Date Wrong? appeared first on Team-GPT.

Here is how you can access GPT-4o in Team-GPT:

1. Create an account: Start by signing-up for Team-GPT.
2. Connect your API key: Next, head to the billing section in your OpenAI account and click on ‘Start Payment Plan’. You can choose a plan suitable for an individual or a company, depending on your needs. Here’s the full guide showing how to set your API key up.
3. Return to Team GPT Dashboard: Upon successful set up of your API key, start a chat, choose GPT-4o, and use the best model available as to date.

Our thanks go to OpenAI for making GPT-4o available. We’re excited about the potential it holds for users of Team-GPT. Have fun exploring GPT-4o!

The post How to Access GPT-4o | Unlimited GPT-4o API Access appeared first on Team-GPT.

Unleash the potential of AI by integrating Anyscale into Team-GPT. This setup grants access to open-source models, positioning your team at the forefront of AI innovation. The model empowers teams not only to concentrate on innovation and delivery but also to harness the collective power of AI solutions contributed to by the global community on a daily basis.

Here’s what you should do to set up Anyscale in Team-GPT:

1. Sign up for Anyscale: First things first, you need to have an Anyscale account. Sign up here.
2. Activate Your Account: After submitting the form, Anyscale will send a link to your email. Open this link to proceed.
3. Generate an API Key: Inside your account, navigate to the ‘Credentials‘ section and select the option to generate a new key. As a suggestion, name the key in a way that helps you remember its purpose—for instance, by using your workspace name and the current date. Once the key is created, ensure you copy it.
4. Go to Team-GPT Settings: Head over to the Team-GPT platform and open “Workspace Settings”. Remember, you’ll need workspace admin access to set up your key.
5. Paste the Anyscale API Key: Access the drop-down menu under ‘Chat Authentication’. Select ‘Anyscale’ and paste your copied API key into the field.
6. Enter Anyscale Endpoint: Copy and paste this Anyscale Endpoint: https://api.endpoints.anyscale.com/v1
7. Save: Once the API key and endpoint are in place, click on ‘Save’.

And there you have it—you’ve successfully set Anyscale as your default model in the Team-GPT platform.

FAQ:

Q: After setting up a chat with GPT-3.5-turbo and shifting to Anyscale, which model will be used in the chat post the authentication change?
A: The default model for your current authentication.

Q: After initiating a chat with GPT-3.5-turbo and changing to Anyscale, which model will be used when I fork the chat?
A: The default model bound to your current authentication.

Q: Can I use the web browsing feature with Anyscale?
A: Yes, as long as you have also set up an OpenAI API key. This feature uses the OpenAI embeddings model to vectorize the content fetched from the browser, for which, you need an active OpenAI API key.

Q: Can I access usage reports with Anyscale?
A: Yes, tracking occurs automatically.

Q: What should I provide as my Anyscale endpoint?
A: Enter ‘https://api.endpoints.anyscale.com/v1’ as your Anyscale endpoint.

The post How to Set Up Anyscale appeared first on Team-GPT.

Tap into advanced AI capabilities by integrating Anthropic Claude into Team-GPT. This configuration gives your team access to one of the most advanced Large Language Models, which can handle up to 200K tokens in context—a powerful asset for complex projects.

Here’s what you should do to set up Anthropic in Team-GPT:

1. Access Anthropic Dashboard: Ensure that you have access to the Anthropic AI API. If you don’t yet have access, you can submit a request. Sign up for Anthropic here.
2. Open Anthropic Dashboard: Enter your email and login code to sign in.
3. Generate a New API Key: Click on the ‘Get API keys’ button, then select ‘Create key’. Using your workspace name and the date to label your key is a helpful practice. Copy the new key.
4. Access Team-GPT Workspace Settings: Go to your Team-GPT workspace and select ‘Settings’, then ‘Workspace Settings’. Note that you have to be a workspace admin to set the key.
5. Select the Anthropic AI Model: Access the drop-down menu under ‘Chat Authentication’. Choose Anthropic as the desired AI model.
6. Paste the API Key and Save: Paste the API key you copied earlier into the appropriate field and save.

Bravo! You’ve successfully integrated Anthropic AI into your Team GPT workspace, unlocking new possibilities for your collaborative projects.

FAQ:

Q: After setting up a chat with GPT-3.5-turbo and shifting to Anthropic, which model will be used in the chat post the authentication change?
A: The default model for your current authentication.

Q: After initiating a chat with GPT-3.5-turbo and changing to Anthropic, which model will be used when I fork the chat?
A: The default model bound to your current authentication.

Q: Can I use the web browsing feature with Anthropic?
A: Yes, as long as you have also set up an OpenAI API key. This feature uses the OpenAI embeddings model to vectorize the content fetched from the browser, for which, you need an active OpenAI API key.

Q: Can I access usage reports with Anthropic?
A: Yes, tracking occurs automatically.

Q: What is the payment procedure for Anthropic?
A: According to their website, you will be issued an invoice at the month’s end. However, there is no information for current usage or managing billing settings.

The post How to Set Up Anthropic Claude appeared first on Team-GPT.

Here’s how you can expand your Team-GPT workspace:

1. Navigate to Add Seats: Log in to your Team-GPT workspace and direct your attention to the ‘Add Seats’ option displayed at the top.
2. Review Your Current Plan: Upon clicking, you’ll be presented with the details of your existing plan. Take a moment to assess your current usage.
3. Determine Your Needs: Decide the number of additional seats you require. Perhaps your expanding project has brought in 20 new team members who need access.
4. Process Your Upgrade: Choose your additional seats and proceed by clicking ‘Upgrade.’ This action will prompt you for some standard information and payment details.
5. Confirm and Continue: With your details entered, all that’s left is to click ‘Subscribe now.’
   

Congratulations, you’ve just scaled up your operation and unlocked new possibilities for collaboration and success on the Team-GPT platform. Investing in extra seats accommodates more members in your workspace, which will help you make the most of the platform.

The post How to Buy More Seats appeared first on Team-GPT.

Here’s what you should do to set up an Azure OpenAI Service with Team-GPT:

1. Azure Account and Subscription: Make sure you have an Azure account and an Azure OpenAI Service subscription. If you don’t have one, please follow this guide (skip if you already have an account and subscription) Create Microsoft Azure account and Azure OpenAI Service Subscription
2. Access to Azure OpenAI Service: Make sure you have access to Azure OpenAI Service (skip if you already have access) Azure OpenAI Service Access
3. Deploy an OpenAI Model: Make sure you have deployed an OpenAI model in the Azure OpenAI Service. If you haven’t done so, please follow this guide: Deploy Azure OpenAI Model
4. Set Up Azure OpenAI Authentication in Team-GPT: If you have already completed the steps above and would like to use OpenAI Service in Team-GPT, please follow this guide: Set Up Azure OpenAI Authentication in Team-GPT

If you need extra help, you can check out this guide: Azure OpenAI Service GPT-4 Access.

FAQ:

Q: After setting up a chat with GPT-3.5-turbo and shifting to Azure, which model will be used in the chat post the authentication change?
A: The default model for your current authentication.

Q: After initiating a chat with GPT-3.5-turbo and changing to Azure, which model will be used when I fork the chat?
A: The default model bound to your current authentication.

Q: Can I use the web browsing feature with Azure?
A: Yes, as long as you have also set up an OpenAI API key. This feature uses the OpenAI embeddings model to vectorize the content fetched from the browser, for which, you need an active OpenAI API key.

The post How to Set Up Azure OpenAI Service appeared first on Team-GPT.

Here is how you can access GPT-4 in Team-GPT:

1. Verify API Key: Start by checking your current API key. If it only provides access to GPT-3.5, as indicated by a greyed-out GPT-4 option, you need to upgrade.
2. Check Payment Plan: Next, head to the billing section in your OpenAI account and click on ‘Start Payment Plan’. You can choose a plan suitable for an individual or a company, depending on your needs.
3. Complete Payment: Follow the instructions to finalize the payment process.
4. Return to Team GPT Dashboard: Upon successful payment, go back to your Team GPT dashboard. You’ll notice that the previously greyed-out GPT-4 option is available.

Our thanks go to OpenAI for making GPT-4 available. We’re excited about the potential it holds for users of Team GPT. Have fun exploring GPT-4!

If the method shown in the video doesn’t grant you GPT-4 access right away, try cancelling your OpenAI payment plan and then setting it up again.

The post How to Access GPT 4 | Unlimited GPT-4 API Access appeared first on Team-GPT.

Here’s a step-by-step guide to help you connect your OpenAI API key inside Team-GPT:

1. Create a new API Key: Navigate to the OpenAI dashboard. This will direct you to the API Keys page.
2. Connect the Key: Assign a name to your new key, and click ‘Create’ to generate it. Copy this new key and paste it into the designated field on your screen. Select ‘Set’ to connect it.
3. Test the Key: To ensure the API key is working correctly, click the ‘Test API key’ button. If you encounter an issue stating the key is not active, you have probably missed adding billing details to your OpenAI account.
4. Add Billing Details: Navigate to ‘Billing settings,’ followed by ‘Payment methods’, and add a payment method to sort out the issues. Follow this article on how to set up your billing.
5. Pre-purchase API credits: Add credits to your account via the billing page (if required)*.
6. Set usage limits: Navigate to Usage limits and set limits your comfortable with. Do this to prevent unexpected charges and get usage alerts.

Once the API key is successfully connected, you’re all set to invite team members and begin using Team-GPT.

*Change in OpenAI Billing Method
Starting from March 25, 2024, OpenAI implemented a new billing method for the OpenAI API accounts. Instead of receiving a bill at the end of each month, users must pre-purchase credits to use the API via the billing page. If your account runs low on credits, your API requests may temporarily fail until you purchase additional credits. Please note that this change applies only to your OpenAI API account and rollouts gradually across accounts.

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Customize the look of your Team-GPT workspace to suit your preferences:

1. Locate the Theme Button: You’ll find a button within the app that allows you to change the theme from dark to light. It is currently located in the lower right corner.
2. Switch Between Dark and Light: To change to the light theme, simply click the button. Your app will immediately switch to a brighter, light-themed interface. Prefer a darker theme? No problem. Just click the button again, and your interface will revert to the dark theme.

It’s all about your personal preference. So, select the theme you like the best, and enjoy collaborating in Team-GPT!

The post Dark Theme vs Light Theme appeared first on Team-GPT.

Managing your team’s AI adoption is now effortless with Team-GPT’s Advanced Usage Reports. Located conveniently in the right sidebar, detailed analytics await on a new, dedicated page.

Delve into these insights:

1. Overall chat efficiency: Shows an instant look at the effectiveness of chat sessions across your workspace as a measure of your team’s conversation quality.
2. Real-time chat efficiency tracker: When engaged in a chat, you can now keep an eye on your context limit live. If you approach the limit, indicated by the tracker turning yellow or red, it’s a sign that you may need to fork the chat.
3. Active users: Gain insights into team participation levels by tracking the number of active users over a selected period. This report helps to identify whether your team’s adoption rates align with your expectations.
4. Chat efficiency by user: Sorts each user’s messages into high, moderate, or low efficiency categories based on token usage. Ideally, users should aim for shorter chats as they not only decrease token usage but also enhance focus.
5. The longest chats in your workspace: Reveals the conversation length, the AI model used, and the percentage of context window utilized. Cross-reference this with efficiency data to uncover actionable patterns.
6. Token distribution overview: Important for understanding the balance between input tokens (what you send to the AI) and output tokens (what the AI sends back).
7. Token usage by user: Illustrates each member’s token consumption and their tokens per message  ratio. Identify the top performers in efficiency and learn from their techniques.
8. User engagement: Offers a broader perspective on user activity, tracking the total number of chats initiated and messages sent by all team members.

Now, you can:

1. Maximize chat efficiency.
2. Educate your team on effective chat techniques.
3. Identify areas requiring additional training or adjustment.

Understand your team’s patterns and ensure maximum efficiency and productivity inside Team-GPT.

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