AI is a tool trained on a finite dataset

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The API acts like a waiter in a restaurant, taking our requests and sending them to the main LLM engine to process and return the desired results. This allows different software applications to communicate and interact with each other without needing to know the intricate details of what is happening behind the scenes.


GPT-4o: In May 2024, OpenAI introduced GPT-4o, which enables real-time conversations. This marks a leap forward in human-AI LLM interaction, as it facilitates problem solving through voice and visual commands, mimicking real-life conversations between two people. Caution when working with LLM: While these developments are exciting, we need to be cautious.


The more we interact with AI naturally, the japan whatsapp number data more we risk forgetting that AI is not human. which means that if the information we are looking for is not in its dataset, we risk being misinformed.


From technical demo to professional product The Advancement of Generative AI: Just like digital cameras were initially bulky and difficult to use but quickly evolved into mainstream tools, Generative AI is also going through a similar process. From demo tools to professional tools: The first versions of Generative AI required technical knowledge and were somewhat difficult to use.