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Overcoming ChatGPT's Limitations with IngestAI

By Vasyl Rakivnenko

ChatGPT has been widely celebrated for its incredible potential and power in generating human-like responses across various tasks. However, this AI model still has some limitations that may hinder businesses and individuals from using it in high-precision or complex applications. In this blog post, we will discuss these ChatGPT limitations and introduce IngestAI, a no-code platform that enables users to expand AI functionality and overcome these obstacles.

Limitations of ChatGPT

  1. Dated Knowledge: ChatGPT's model was trained with data up to 2021, meaning it lacks knowledge on all subsequent events and information. This ChatGPT limit may hinder its applicability in current affairs and recent developments.

  2. Unpredictable Answers: While the vast amount of data that ChatGPT was trained on makes it powerful and creative, its responses can be unpredictable. This characteristic may be less suitable for tasks that require specific, accurate, and consistent information.

  3. Lack of Customization: ChatGPT possesses an extensive knowledge base but updating it with users' specific or the latest information is practically impossible due to ChatGPT limitation word restrictions (tokens). This makes it difficult to tailor this LLM (Long Language Model) to unique business needs or knowledge domains.

  4. Inaccuracy: With an accuracy of slightly above 85%, ChatGPT may not be sufficient for use cases like customer support or internal knowledge base assistance which demand higher answers precision due to ChatGPT limit per hour/day constraints; affecting how much interaction can take place within a given timeframe.

Introducing IngestAI: Expanding AI Functionality And Overcoming Limitations

IngestAI is a no-code platform designed to enable AI builders efficiently enhance the capabilities of AI models like overcoming limitations of ChatGPT character Limit by offering several key features:

  1. Upload Custom Content: IngestAI allows users to upload specific content in various formats (Word ,PDF etc) such as FAQs, service specifications or real time exchange rates.

  2. Finetune AI Models: The platform supports a wide range of AI models (OpenAI, Cohere, Stable Diffusion etc), enabling users to finetune and expand their functionality with prompt engineering making. This customizations helps in addressing specific business requirements more efficiently.

  3. Integrate With Multiple Interfaces: IngestAI can be seamlessly integrated across numerous interfaces ,such as Slack, Telegram, WhatsApp, Discord and the web. Users can also embed web chats into their websites or create white labeled solutions with a separate domain under their brand name.

  4. Achieve Higher Accuracy: With IngestAI users can achieve accuracies up to 99% depending on the dataset quality and complexity (you can read more about Data Preparation here). Users can fine tune and optimize their AI models to deliver precise results even in complex and demanding use cases .

Conclusion

While ChatGPT offers significant benefits in terms of content generation and creativity; its limitations necessitate alternative solutions for various use cases. If you're wondering how to increase limit on ChatGPT or get better performance from it—IngestAI provides an effective versatile platform for users looking to expand AI functionality by offering prompt engineering functionality automation and finetuning, seamless integration and higher accuracy thus unlocking full potentials of AI's for businesses & individuals.

FAQ

The primary drawbacks of ChatGPT include its limited knowledge scope (only up-to-date until 2021), potential for inconsistent and unpredictable responses, inability to customize the model to cater to specific business needs or domains, and an accuracy level that may not meet high-precision requirements.

Instead of counting in characters, GPT-3 uses tokens as its metric for input-output text limits. You can have up to 4096 tokens per API call, where tokens range from single characters to whole words. The actual character count you can process will depend on your text's complexity.

When using the ChatGPT API, there is a token-based limitation rather than an explicit character limit; both input and output portions contribute towards this constraint. With a maximum capacity of 4096 tokens per request (where one token could be as short as a character or as long as a word), it determines the overall limit on processed text content.

For interactions with ChatGPT, it's essential to consider token limitations instead of merely focusing on character counts—the total amount permitted per API call is 4096 tokens which include both input and output portions. In real-world scenarios, this equates anywhere between around two thousand to several thousand characters depending on language and textual complexity.

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