@KyberNetwork と @BuildOnCyber をホストしてくださりありがとうございます 🙏 Bra

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@KyberNetwork と @BuildOnCyber をホストしてくださりありがとうございます 🙏 BrainDAO チームは @gmvn_official の GM Bull Market サイドイベントで素晴らしい時間を過ごしました 💪 #IQisAI

@KyberNetwork と @BuildOnCyber​​ をホストしてくださりありがとうございます 🙏
BrainDAO チームは @gmvn_official の GM Bull Market サイドイベントで素晴らしい時間を過ごしました 💪
#IQisAI

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Introducing Fastc by BrainDAO: Simple and Lightweight Text Classification for Everyone - 🧵 Need to analyze large texts without a supercomputer? Fastc is an easy-to-use Python library for building lightweight text classifiers. Ideal for running multiple classifiers in parallel on personal computers or resource-limited servers, no prior knowledge needed. Why is Fastc different? Traditional text classification demands complex training and high computing power. Fastc simplifies this by using pre-trained Large Language Models (LLMs) and straightforward methods like Logistic Regression or Centroid-based techniques. This avoids fine-tuning, speeding up model training and inference, even with multiple parallel classifiers. Who Can Benefit from Fastc? Fastc is a valuable tool for a wide range of users, including: • Data Scientists: Ideal for those working with limited computational resources. • Researchers: Enables efficient analysis of textual data in various research fields. • Developers: Simplifies the creation of ad-hoc text classifiers and the integration of classification tasks into applications. • Anyone Working with Text Data: Provides a user-friendly way to build text classifiers and analyze text, even with limited technical knowledge. BrainDAO developed fastc while working on improvements to https://t.co/L61kOYcPSV, the AI assistant for blockchain knowledge. IQ GPT was trained on thousands of in-depth articles from, the largest blockchain encyclopedia, as well as live data from sources like InvestHK, CoinGecko, and DefiLlama. IQ GPT is also available as a Telegram and Discord bot that communities can integrate to help with moderation and answering questions.

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