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Author: Admin | 2025-04-27
Topic. The goal is to gather as much varied, real-world data as possible so that the AI can generate more accurate and relevant responses. One of the biggest advantages of Grass is that it taps into real-time data. While some AI models rely on static datasets (like old encyclopedias or textbooks), Grass gives access to constantly updated information. This means AI models can answer questions about current events, trends, and even cultural shifts. Large Language Models: How AI Learns from Grass To understand how Grass fits into the AI ecosystem, let’s take a closer look at how large language models (LLMs) work. LLMs are like the brains behind AI chatbots, translators, and virtual assistants. They are trained on huge amounts of text data to learn how language works and how different words relate to each other. This allows them to generate human-like responses when asked a question. But here’s the tricky part: Training an LLM takes enormous amounts of data. The more text the model reads, the smarter it gets. For instance, if an AI model is trained to understand everything written on Wikipedia, it can answer questions about any topic covered in those articles. However, to get even more accurate, the model needs to read from many different sources and keep up with constantly changing information. This is where Grass shines. Grass allows AI models to access up-to-date public information by using its network of nodes. The AI labs connected to Grass can then use this data to create better, more accurate LLMs capable of answering all sorts of questions, from simple queries about everyday life to complex scientific problems. GRASS Goes Live on Bitget Grass is an exciting new player in the world of AI, using innovative technology to gather public web data and train powerful large language models. With the backing of top investors and a growing network of nodes, Grass is changing the way AI labs access information and helping create smarter, more accurate AI models. As it continues to gain traction in the AI space, now could be an opportune moment to consider trading Grass on Bitget's pre-market. With its decentralized approach to gathering public web data and contributing to the growth of large language models, Grass presents an intriguing opportunity for those looking to invest in cutting-edge AI technology. Trading in the pre-market allows early access to potential gains as the project develops further. GRASS on Bitget Pre-Market GRASS is a part of Bitget Pre-Market, a platform where users can trade tokens over-the-counter before the token is listed for spot trading. Join now to get the best out of it! Bitget Pre-Market offers flexibility in trading activities with two settlement options: ● Coin settlement, which uses a 'cash on delivery' method where a security deposit is forfeited if the seller fails to deliver. ● USDT settlement, a new option where trades are settled in USDT at the average index price at the last minute. To use Bitget Pre-Market, follow these simple steps: ● Step
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