Open AI announces ChatGPT AI Chat interface | Everything you need to know

(Image courtesy : Open AI)

What is Chat GPT ?

ChatGPT is a conversational dialogue model, trained by AI and machine literacy to understand and respond to natural mortal language. 

 It gets its name from GPT or GenerativePre-Trained Transformer, which is a deep literacy language model that specialises in generating mortal- suchlike written textbook. 

 Deep literacy is a machine literacy system with three or further layers of a neural network. This network attempts to pretend the geste 

 of a mortal brain, which allows it to learn, like we do, using data. 

 The current replication of GPT(3.5) is what ChatGPT is grounded on. Unlike GPT3.5, ChatGPT can induce detailed, mortal- suchlike written textbook and can flash back earlier exchanges for environment. 

 Open AI, the generators of GPT, say that ChatGPT can answer follow- up questions, admit miscalculations, challenge demesne and reject requests it deems unhappy.

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(Image courtesy : Open AI)

How does Chat GPT work ?

ChatGPT was trained by OpenAI using a technique called Reinforcement Learning through Human Feedback (RLHF). A reward/penalty mechanism is used by RLHF to train AI.

Every action an AI does is either categorized as desirable or punitive. In contrast to an undesirable behaviour, a desired one is rewarded. Through trial and error, the AI learns like people do by analysing a huge selection of data in this manner.

OpenAI used "guided fine-tuning" for ChatGPT . Dedicated humans who played the roles of users and AI assistants in discussions to teach the AI. When giving answers, the trainers were given recommendations.

METHODS

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What are the limitations of ChatGPT ?

Sometimes ChatGPT provides answers that are correct but are actually erroneous or illogical. Fixing this problem is difficult because: (1) there is currently no source of truth during RL training; (2) making the model more cautious makes it decline questions that it can answer correctly; and (3) supervised training deceives the model because the best response depends on the model's knowledge rather than the demonstrator's knowledge.

The input phrase can be changed, and ChatGPT is sensitive to repeated attempts at the same question. 

The model frequently uses unnecessary words and overuses specific phrases, such saying it's a language again.

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