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Source channel @githubtrending · Post #14737 · May 22

#other This book provides a systematic introduction to large language models (LLMs), covering topics like traditional language models, LLM architectures, prompt engineering, efficient parameter tuning, model editing, and retrieval-enhanced generation. It aims to be easy to read and rigorous, with monthly updates and a list of relevant papers. The book helps readers understand LLMs' principles and applications, making it beneficial for those interested in AI and NLP. It offers a structured learning path, which is useful for both beginners and advanced learners. https://github.com/ZJU-LLMs/Foundations-of-LLMs

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@NEWS_AND_TIPS · Post #2362 · 05/26/2024, 05:46 PM

Telegram #FactCheck Feature Spotted in Code. We spotted some interesting code snippets that hint at a new "Fact Check" being in development. Here's what we found: 1. A dedicated area within the application for users to access fact-checking tools or information. 2. Fact-Check Submission and Editing: Users might be able to submit facts to be checked, edit their submissions, and delete them. 3. Fact-Checking Dialogs: Dialog boxes to interact with the fact-checking process, perhaps to confirm submissions, display detailed information, or edit entries. 4. User Notifications: Notifications and messages to inform users about the status of their fact-checks (submitted, edited, deleted). 5. Informational and Placeholder Text: Text elements providing explanations about fact-checking, as well as placeholders in input fields to guide user input. 6. Toast Messages: Instant feedback to users through toast notifications about actions taken related to fact-checking. Overall, these string resources suggest that the application is enhancing its functionality to include comprehensive fact-checking features, allowing users to engage with, submit, and manage fact-checked information. Note : Based on limited code, the exact functionality of the Fact Check feature is not yet clear. #Factcheck#Communitynotes#Beta