Gpt chatbot7/22/2023 ![]() When a bot goes rogue and makes up an answer, it’s called a hallucination. The most common problems you are likely to encounter are: GPT large language models are not without issues. ![]() While a completion model will typically generate a single response given a prompt, a chat model is capable of handling of natural turn-taking within a conversation and can maintain context across multiple user inputs.Īll in all, when choosing the model, you must closely consider your use case, the goal you want to achieve, and the technical capabilities of your team. These types of models are more suited for tasks involving back-and-forth interactions, providing responses to user queries, and engaging in dialogue-based applications.Ĭhat models are significantly harder to train than the Completions models. Their purpose is to simulate a conversation with a human-like language understanding. On the other hand, Chat API models are specifically trained to facilitate conversational interactions. They are most commonly used for writing assistance, content generation, or summarization. They excel at tasks like text completion (like the automated suggestions you see when writing an email), text generation, and language translation. The Completions API models are designed to generate text based on a prompt or partial input. To get the best results, it's essential that you choose the right API for your use case. These two APIs offer different features and advantages, but are often mistakenly treated as being interchangeable. ![]() OpenAI offers two main types of GPT products: Completion API & Chat API. GPT Completion API and Chat API Differences Explained ![]()
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