Read more at source.
Read more at source.
LLMs like OpenAI's GPT-3 use a series of autocomplete-like programs to learn language. These programs analyze the statistical properties of the language to make educated guesses based on previously typed words. However, they have no hard-coded database of facts to draw on, meaning they can sometimes present false information as truth.
OpenAI has introduced a new feature for ChatGPT called 'deep research'. This feature enables the AI to operate autonomously, planning and executing a multi-step trajectory to find the necessary data, even backtracking and reacting to real-time information when needed. Instead of merely generating text, it provides a summary of its process in a sidebar, complete with citations and a summary for reference.
Google's Gemini has been enhanced with new capabilities to make it more useful in Google Sheets. It can now respond to questions about your data with details about trends or by creating static charts that can be inserted into your spreadsheet as images. This new feature is rolling out to most Workspace plans and to users on the $19.99-per-month Google One AI Premium plan.
These AI tools are vast autocomplete systems, trained to predict which word follows the next in any given sentence. As such, they have no hard-coded database of facts to draw on - just the ability to write plausible-sounding statements. This means they have a tendency to present false information as truth since whether a given sentence sounds plausible does not guarantee its factuality.
