OpenAI GPT-3.5 Turbo

Question answering
Text generation
Zero-shot classification
Text classification
Named entity recognition

ChatGPT is an advanced conversational artificial intelligence language model developed by OpenAI. It is based on the GPT-3.5 architecture and has been trained on a diverse range of internet text to generate human-like responses in natural language conversations. This model is latest version.

Intended Use

The primary intended use of ChatGPT-3.5 is to provide users with a conversational AI system that can assist with a wide range of language-based tasks. It is designed to engage in interactive conversations, answer questions, provide explanations, offer suggestions, and facilitate information retrieval. It can also engage in more specialized conversations such as prose writing, programming, script and dialogues, and explaining scientific concepts to varying degrees of complexity.

ChatGPT-3.5 can also be employed in customer service applications, virtual assistants, educational tools, and other systems that require natural language understanding and generation.


ChatGPT-3.5 has demonstrated strong performance across various language tasks, including understanding and generating text in a conversational context. It is capable of producing coherent and contextually relevant responses to user input as well as storing information short-term to offer meaningful information and engage in meaningful dialogue with a user. 

The model has been trained on a vast amount of internet text, enabling it to leverage a wide range of knowledge and information. OpenAI has 

However, it is important to note that ChatGPT-3.5 may occasionally produce incorrect or nonsensical answers, especially when presented with ambiguous queries or lacking relevant context.


While ChatGPT-3.5 exhibits impressive capabilities, it also has certain limitations that users should be aware of:

Lack of Real-Time Information: ChatGPT-3.5’s training data is current until September 2021. Therefore, it may not be aware of recent events or have access to real-time information. Consequently, it may provide outdated or inaccurate responses to queries related to current affairs or time-sensitive topics.

Sensitivity to Input Phrasing: ChatGPT-3.5 is sensitive to slight rephrasing of questions or prompts. While it strives to generate consistent responses, minor changes in phrasing can sometimes lead to different answers or interpretations. Users should be mindful of this when interacting with ChatGPT.

Propensity for Biases: ChatGPT-3.5 is trained on a broad range of internet text, which may include biased or objectionable content. While efforts have been made to mitigate biases during training, the model may still exhibit some biases or respond to sensitive topics inappropriately. It is important to use ChatGPT's responses critically and be aware of potential biases.

Inability to Verify Information: ChatGPT-3.5 does not have the capability to verify the accuracy or truthfulness of the information it generates. It relies solely on patterns in the training data and may occasionally provide incorrect or misleading information. Users are encouraged to independently verify any critical or factual information obtained from the model.

Lack of Context Awareness: Although ChatGPT-3.5 can maintain short-term context within a conversation, it lacks long-term memory. Consequently, it may sometimes provide inconsistent or contradictory answers within the same conversation. Users should ensure they provide sufficient context to minimize potential misunderstandings.

LLM Hallucation: ChatGPT-3.5, much like many other large language models, is prone to a phenomenon called “LLM Hallucation”. At its core, GPT3.5 and other LLMs are neural networks trained on a large amount of text data. It is a statistical machine, and essentially "learns" to predict the next word in a sentence based on the context provided by preceding words. As a result, LLM hallucination occurs when the model's primary objective is to generate text that is coherent and contextually appropriate, rather than factually accurate.

In addition, OpenAI has since released GPT-4, which makes significant improvements on the GPT-3.5 architecture. From parameters, to memory, and now accepting both text and image data compared to GPT-3.5, GPT-4.0 is a significant improvement.



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