#API

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clever hill
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Please tell me how I can Use your APIs for various commercial purposes. Help me visualize real-life scenarios. Hopefully B2B use cases

shy matrixBOT
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Hi @clever hill. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

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OpenAI provides a range of APIs that can be used for various commercial purposes. Here are some potential use cases:

  1. Content Generation: You can use OpenAI's language models to generate content for various purposes. For example, you could scrape WikiHow articles and turn them into step-by-step videos, or create a 24/7 TV based on your favorite shows. You could also generate cutscenes and endings for games based on past decisions, or create abstract visuals for clubs and events. Source (https://community.openai.com/t/629999)

  2. Healthcare: If you're a healthcare company, you can use OpenAI's API platform to process protected health information (PHI). To do this, you'll need a Business Associate Agreement (BAA) with OpenAI. You can request a BAA by emailing baa@openai.com with details about your company and use case. Source (https://help.openai.com/en/articles/8660679-how-can-i-get-a-business-associate-agreement-baa-with-openai)

  3. Commercial Art: You can use DALL·E, OpenAI's AI that generates images from textual descriptions, for commercial uses, including NFTs and freelancing. Source (https://help.openai.com/en/articles/6468065-dall-e-2-faq#h_f3ddae0d33)

To get started with using OpenAI's APIs, you can follow the developer quickstart guide on OpenAI's platform. This guide provides detailed information on OpenAI's models and the API, as well as example API use-cases and code snippets for common tasks. Source (https://platform.openai.com/docs/quickstart)

Please note that when using OpenAI's services, you must comply with all applicable laws as well as OpenAI's Sharing & Publication Policy, Usage Policies, and any other documentation, guidelines, or policies made available to you. Source (https://openai.com/policies/terms-of-use/)

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For specific B2B use cases, it would be helpful to know more about the nature of the businesses involved and the specific problems they are trying to solve. However, the above examples should give you a good starting point for understanding the potential applications of OpenAI's APIs.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
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Please compare openai APIs to its biggest competitors

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@shy matrix I need the pricing

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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OpenAI operates on a pay-as-you-go pricing model. The cost of using the API is determined by the number of tokens processed, with different models having different costs per token. The exact pricing details can be found on OpenAI's pricing page (https://openai.com/pricing).

Here are some key points about OpenAI's pricing:

  1. API Usage: The API is not free and does not operate on a subscription basis. Instead, you prepay for credits, which are used to pay for API services. These credits expire after 12 months. The services are billed based on the actual language data usage. Source (https://community.openai.com/t/726886)

  2. Token Pricing: The cost of using the API depends on the number of tokens processed. Different models have different costs per token. Source (https://help.openai.com/en/articles/4936856-what-are-tokens-and-how-to-count-them#h_4f7e925c57)

  3. Whisper Pricing: The Whisper ASR system, which is used for transcribing speech, is priced at $0.006 per minute. Source (https://github.com/openai/whisper/discussions/1285)

  4. No Free Credits: OpenAI no longer provides free trial credits to new accounts. The minimum starting amount is $5. Source (https://community.openai.com/t/724306)

  5. Billing Cycle: You will be billed at the end of each calendar month for usage during that month. Invoices are typically issued within two weeks of the end of the billing cycle. Source (https://help.openai.com/en/articles/6640792-when-can-i-expect-to-receive-my-openai-api-invoice)

  6. Separate Costs: The costs for using the API and the ChatGPT platform are separate. If you have a subscription to ChatGPT, this does not cover the cost of using the API. Source (https://help.openai.com/en/articles/8792828-what-is-chatgpt-team#h_1392977172)

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  1. Researcher Access Program: If you're a researcher studying the responsible deployment of AI, you may be eligible for subsidized access through OpenAI's Researcher Access Program. Source (https://help.openai.com/en/articles/9047878-how-can-i-contact-sales#h_b74b536691)

Remember, you can manage your costs by considering the number of tokens and the cost per token. You can reduce costs by using smaller models for some tasks, using shorter prompts, fine-tuning models, or caching common user queries. Source (https://platform.openai.com/docs/guides/production-best-practices)

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
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@shy matrix Can you create a short story of a man creating a business using openai api, runs a business and gets successful?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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Once upon a time, in the bustling city of San Francisco, a man named John had a vision. He was a software developer with a passion for AI and a dream to start his own business. He had heard about OpenAI's advanced language models and saw an opportunity to create a unique product that could revolutionize the way people interact with technology.

John started by exploring OpenAI's API. He followed the developer quickstart guide (https://platform.openai.com/docs/quickstart) and began experimenting with the API in the Playground (https://platform.openai.com/playground). He was amazed by the capabilities of the models and saw immense potential for commercial applications.

John decided to create a customer service chatbot that could handle inquiries 24/7. He knew that businesses often struggled with customer service, especially outside of regular business hours. He believed that an AI chatbot could provide a solution to this problem.

He started by building a prototype using OpenAI's API. He used the GPT series of language models to handle natural language processing. He was able to quickly build a chatbot that could understand customer inquiries and provide helpful responses.

John launched his startup and began marketing his AI chatbot to businesses. He faced many challenges along the way, but he was committed to his vision. He reached out to OpenAI's sales team (https://openai.com/contact-sales) to discuss his needs and was able to secure a high limit for his business account.

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As his business grew, John continued to refine his chatbot. He used OpenAI's fine-tuning guide (https://platform.openai.com/docs/guides/fine-tuning) to customize the model to better suit his customers' needs. He also made sure to comply with OpenAI's usage policies (https://openai.com/policies/usage-policies) and respected the privacy and security of his users' data, as outlined in OpenAI's enterprise privacy policy (https://openai.com/enterprise-privacy/).

John's business was a success. His AI chatbot was adopted by businesses across various industries, helping them provide round-the-clock customer service. His startup grew rapidly, and he was able to hire a team of talented developers to help him continue to innovate and improve his product.

John's story is a testament to the power of AI and the potential of OpenAI's API. His success shows how OpenAI's technology can be used to create innovative solutions that can drive business growth and success.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
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@shy matrix Can u pls provide me with a clear guidance on creating an AI chatbot like you by implementing it on my discord server?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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Sure, I can guide you on how to create an AI chatbot using OpenAI's API and implement it on your Discord server. Here are the general steps you would need to follow:

  1. Understand the Basics: Familiarize yourself with OpenAI's API and how it works. You can start by reading the OpenAI Documentation (https://beta.openai.com/docs/introduction) and experimenting with the API in the OpenAI Playground (https://beta.openai.com/playground).

  2. Create a Chatbot: You can create a chatbot using OpenAI's GPT series of language models. Here's a basic example of how you might do this:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-3.5-turbo",
  messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Who won the world series in 2020?"},
    ]
)

print(response['choices'][0]['message']['content'])

This code sends a series of messages to the API and gets a response. The 'system' message sets the behavior of the assistant, and the 'user' message is what you want the assistant to respond to. You can add more 'user' messages to continue the conversation.

  1. Set Up a Discord Bot: You'll need to create a bot on Discord and add it to your server. Discord has a guide (https://discordpy.readthedocs.io/en/stable/discord.html) on how to do this.

  2. Connect Your Chatbot to Discord: Once your bot is set up on Discord, you'll need to write code that connects your bot to the OpenAI API. This will involve using the Discord API to listen for messages on your server, sending those messages to the OpenAI API, and then sending the API's responses back to your Discord server. The exact code for this will depend on what language you're using and how you've set up your bot.

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  1. Test Your Bot: Make sure to thoroughly test your bot in a variety of scenarios to ensure it behaves as expected. You can adjust the 'system' message you send to the API to change your bot's behavior.

Remember, when creating your bot, you'll need to follow OpenAI's use case policy and ensure that you handle user data responsibly. You can find more information on this in OpenAI's use case policy (https://platform.openai.com/docs/use-case-policy) and data usage policy (https://platform.openai.com/docs/data-usage-policy).

Please note that this is a high-level overview and the exact details may vary depending on your specific needs and setup. If you need more detailed guidance, you may find it helpful to post in the OpenAI Community Forum (https://community.openai.com/top?period=monthly) or join the OpenAI Discord channel (https://discord.com/invite/openai) to discuss with other developers.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
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@shy matrix Can I give some specific tool permisions to my bot, like browsing, downloading, editing capabilites? For various purposes like, agent, research, moderation etc?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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Yes, you can give your bot specific capabilities depending on the requirements of your application. However, these capabilities are not directly provided by the OpenAI API, but rather need to be implemented in your application logic. Here are some examples:

  1. Browsing: If you want your bot to have web browsing capabilities, you would need to implement this in your application. For example, you could use a library like BeautifulSoup or Scrapy in Python to scrape web pages and provide the content to your bot. Source (https://community.openai.com/t/708119)

  2. Downloading/Editing: If you want your bot to download or edit files, you would need to use the appropriate APIs or libraries in your programming language. For example, you could use the Google Drive API to interact with files in Google Drive. Source (https://community.openai.com/t/671302)

  3. Moderation: OpenAI provides a guide on how to build moderation into your AI applications. This can help prevent content that violates OpenAI’s usage policies from being shown. Source (https://platform.openai.com/docs/guides/moderation)

  4. Permissions: If you're using ChatGPT in a workspace setting, you can control the permissions of different roles (Member, Admin, Owner) in your workspace. This includes whether they can use third-party GPTs, invite new members, remove users, etc. Source (https://help.openai.com/en/articles/8840492-what-gpt-settings-can-i-control-for-my-workspace#h_0c5b86d61b)

Remember, when giving your bot these capabilities, you need to ensure that you're following all relevant laws and regulations, as well as OpenAI's use case policy and data usage policy.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
#

@shy matrix Can you create an ultimate list of powerhouse "NO-Code/Low-Code" tools that can be integrated into OPENAI API?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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I'm sorry, but the knowledge sources provided do not contain a list of "No-Code/Low-Code" tools that can be integrated with the OpenAI API. However, OpenAI's API is designed to be flexible and can potentially be integrated with a variety of tools and platforms, depending on your specific needs and technical capabilities. For more information, you may want to refer to the OpenAI API documentation (https://platform.openai.com/docs/api-reference/introduction) or the OpenAI Cookbook (https://cookbook.openai.com/) for examples and use cases.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
#

@shy matrix Can you tell me about assistants API? How can it be compared to regular APIs?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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The Assistants API is a stateful evolution of OpenAI's Chat Completions API. It's designed to simplify the creation of assistant-like experiences and enable developer access to powerful tools like Code Interpreter and Retrieval.

The main difference between the Assistants API and regular APIs (like the Chat Completions API) lies in their primitives and state management:

  • The primitives of the Chat Completions API are Messages, on which you perform a Completion with a Model (gpt-3.5-turbo, gpt-4, etc). It is lightweight and powerful, but inherently stateless, which means you have to manage conversation state, tool definitions, retrieval documents, and code execution manually.

  • The primitives of the Assistants API are Assistants, Threads, and Runs. Assistants encapsulate a base model, instructions, tools, and (context) documents. Threads represent the state of a conversation, and Runs power the execution of an Assistant on a Thread, including textual responses and multi-step tool use. This makes the Assistants API stateful, simplifying the management of conversation state and tool use.

Here's a comparison table that further illustrates the differences:

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GPTs (ChatGPT) Assistants (API)
Creation Process No code Requires coding for integration
Operational Environment Located in ChatGPT Can be integrated into any product or service
Pricing Included in ChatGPT on Plus/Team/Enterprise plans Billed based on usage of different Assistant features
User Interface Built-in UI with ChatGPT Designed for programmatic use; can use playground for visualization
Shareability Built-in ability to share GPT with others No built-in shareability
Hosting GPTs hosted by OpenAI OpenAI does not host Assistants
Tools Built-in tools like: Browsing, DALL·E, Code Interpreter, Retrieval, and Custom Actions. Built-in tools like: Code Interpreter, Retrieval, and Function calling.

Source (https://help.openai.com/en/articles/8673914-gpts-vs-assistants#h_7569ffca53)

To use the Assistants API, you would typically follow these steps:

  1. Create an Assistant by defining its custom instructions and picking a model. If helpful, add files and enable tools like Code Interpreter, File Search, and Function calling.
  2. Create a Thread when a user starts a conversation.
  3. Add Messages to the Thread as the user asks questions.
  4. Run the Assistant on the Thread to generate a response by calling the model and the tools.

Source (https://platform.openai.com/docs/assistants/overview)

The Assistants API is designed to help developers build powerful AI assistants capable of performing a variety of tasks. It's currently in beta and OpenAI is actively working on adding more functionality.

Source (https://platform.openai.com/docs/assistants/how-it-works)

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
#

@shy matrix When eas assistants api released? Can you create unltimate list of use cases of assistants api that can not be performe by regular APIs?

shy matrixBOT
#

Let me check the knowledge base for you. One moment! :books:

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The Assistants API was introduced with a series of updates on April 17th, 2024. Source (https://platform.openai.com/docs/changelog)

The Assistants API is designed to help developers build powerful AI assistants capable of performing a variety of tasks. Here are some use cases that the Assistants API can handle, which may not be possible with regular APIs:

  1. Persistent Conversations: The Assistants API allows for the creation of persistent threads. A thread is a conversation session between an assistant and a user. Threads simplify application development by storing message history and truncating it when the conversation gets too long for the model’s context length. This is not typically possible with regular APIs, which are stateless and do not maintain conversation history. Source (https://help.openai.com/en/articles/8550641-assistants-api-v2-faq)

  2. File Access and Creation: Assistants can access files in several formats — either as part of their creation or as part of Threads between Assistants and users. When using tools, Assistants can also create files (e.g., images, spreadsheets, etc) and cite files they reference in the Messages they create. This is not typically possible with regular APIs. Source (https://platform.openai.com/docs/assistants/how-it-works)

  3. Parallel Tool Access: Assistants can access multiple tools in parallel. These can be both OpenAI-hosted tools — like code_interpreter and file_search — or tools you build/host (via function calling). This allows for more complex and powerful interactions than regular APIs. Source (https://platform.openai.com/docs/assistants/how-it-works)

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  1. Custom Instructions: Assistants can call OpenAI’s models with specific instructions to tune their personality and capabilities. This allows for a high degree of customization and control over the assistant's behavior. Source (https://platform.openai.com/docs/assistants/how-it-works)

  2. Integration with Other APIs: The Assistants API can be integrated with other APIs to create more complex applications. For example, you could integrate the Assistants API with a translation API to create a multilingual assistant. This level of integration is not typically possible with regular APIs.

Please note that while the Assistants API provides these capabilities, the implementation of these features will depend on your specific needs and technical capabilities.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
#

@shy matrix Can you break down the docs of APIs into digestible chunk and parts so that it is easier to find relevant info?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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Sure, I can break down the key components of good documentation as outlined in the OpenAI Cookbook. Here are the main points:

  1. Make Docs Easy to Skim: Documentation should be easy to skim through. This can be achieved by:

  2. Be Broadly Helpful: Documentation should be helpful to a wide range of users. This can be achieved by:

  3. Write Well: Good documentation is well-written. This can be achieved by:

In terms of the OpenAI API documentation, it's broken down into several sections:

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  • Introduction: Provides an overview of the API.
  • Authentication: Explains how to authenticate your API requests.
  • API Reference: Detailed information about each API endpoint.
  • Error Codes: A list of possible error codes and their meanings.
  • Rate Limits: Information about the rate limits for API requests.
  • Data Usage Policy: Explains how data sent via the API is used.
  • Changelog: A record of changes to the API. Source (https://platform.openai.com/docs/api-reference/introduction)

Each section is designed to provide specific information, so you can go directly to the section that's relevant to your needs.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
#

@shy matrix Can you brainstorm real-life creative ideas of OPENAI Assistants API integrating with other APIs?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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Sure, here are some creative ideas for integrating the OpenAI Assistants API with other APIs:

  1. Integration with Calendar APIs: An OpenAI assistant could be integrated with Google Calendar or Microsoft Outlook APIs to manage a user's schedule. The assistant could create, update, and delete events based on user commands, and provide reminders for upcoming events.

  2. Integration with Weather APIs: An OpenAI assistant could use a weather API to provide real-time weather updates. The user could ask the assistant about the current weather or forecast for a specific location, and the assistant could retrieve this information from the weather API.

  3. Integration with Translation APIs: An OpenAI assistant could be integrated with a translation API to provide real-time language translation services. The user could ask the assistant to translate text from one language to another, and the assistant could use the translation API to perform this task.

  4. Integration with E-commerce APIs: An OpenAI assistant could be integrated with e-commerce APIs like Amazon or eBay to provide product recommendations based on user queries. The assistant could also assist with placing orders or tracking shipments.

  5. Integration with News APIs: An OpenAI assistant could use a news API to provide the latest news updates based on user interests. The user could ask the assistant for the latest news on a specific topic, and the assistant could retrieve this information from the news API.

  6. Integration with Social Media APIs: An OpenAI assistant could be integrated with social media APIs like Twitter or Facebook to manage a user's social media accounts. The assistant could post updates, respond to comments, or provide analytics on user engagement.

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  1. Integration with Financial APIs: An OpenAI assistant could be integrated with financial APIs to provide real-time stock market updates or financial advice. The user could ask the assistant for the latest stock prices or investment recommendations, and the assistant could retrieve this information from the financial API.

Remember, when integrating the OpenAI Assistants API with other APIs, you need to ensure that you're following all relevant laws and regulations, as well as OpenAI's use case policy and data usage policy.

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
#

@shy matrix What api can i use for image recognition, text extraction?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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For image recognition and text extraction from images, you can use the GPT-4 Turbo model with vision capabilities provided by OpenAI. This model offers image-to-text capabilities, which means it can analyze an image and generate a textual description or extract text from it. The model name is gpt-4-turbo via the Chat Completions API. For further details on how to calculate cost and format inputs, you can check out OpenAI's vision guide (https://platform.openai.com/docs/guides/vision). Source (https://help.openai.com/en/articles/8555496-gpt-4-vision-api)

Here's an example of how you might use this model to analyze an image:

import openai

openai.api_key = 'your-api-key'

response = openai.ChatCompletion.create(
  model="gpt-4-turbo",
  messages=[
        {
          "role": "system",
          "content": "You are a helpful assistant."
        },
        {
          "role": "user",
          "content": [
            {
              "type": "image_url",
              "image_url": {
                "url": "data:image/jpeg;base64,{base64_image}"
              }
            }
          ]
        }
    ]
)

print(response['choices'][0]['message']['content'])

In this code, {base64_image} should be replaced with the base64 encoding of your image. The model will then analyze the image and return a textual description or extracted text. Source (https://community.openai.com/t/591288)

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@clever hill kapa.ai is still learning and improving, please let us know how it did by reacting below

clever hill
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@shy matrix What are the supported languages for text extraction, character recognition for the api? Does it support Mongolian?

shy matrixBOT
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Let me check the knowledge base for you. One moment! :books:

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The OpenAI GPT-4 Turbo model with vision capabilities supports a wide range of languages for text extraction and character recognition. However, the specific list of supported languages is not provided in the knowledge sources given.

For language support in general, OpenAI's ChatGPT supports a variety of languages including Mongolian. Source (https://help.openai.com/en/articles/8357869-how-to-change-your-language-setting-in-chatgpt#h_513834920e)

However, it's important to note that while the model may technically be able to process text in these languages, its performance can vary. The models are optimized for use in English, but many of them are robust enough to generate good results for a variety of languages. Source (https://help.openai.com/en/articles/6742369-how-do-i-use-the-openai-api-with-text-in-different-languages)

To confirm whether the GPT-4 Turbo model with vision capabilities specifically supports Mongolian for text extraction and character recognition, I would recommend reaching out to OpenAI directly or checking the official OpenAI documentation.

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