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reacted to ginipick's post with ๐Ÿ‘€๐Ÿš€๐Ÿ”ฅ about 7 hours ago
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335
๐Ÿค– AI Academic Paper Generator: Your Research Partner ๐ŸŽ“

Hello, researchers! Today I'm introducing my AI Academic Paper Generation System. This application is built with Streamlit and provides AI agents to assist with every stage of the academic research process.

ginipick/AgentX-Papers

โœจ Key Features

๐Ÿ“š Literature Research: AI reviews and summarizes relevant research
๐Ÿ“ Paper Outline: Generates a well-structured paper outline
โœ๏ธ Draft Writing: Creates a paper draft based on your research topic
๐Ÿ”— Citation Generation: Automatically generates academic citations
๐Ÿ–‹๏ธ Editing & Polishing: Checks grammar, context, and logical flow
๐ŸŒ Multilingual Support: Interface available in English and Korean

๐Ÿš€ How to Use

Enter basic information like research topic, paper title, and deadline
AI agents generate everything from literature review to final paper
Download your completed paper or consult with the chatbot for further assistance

๐Ÿ’ก What Makes It Special
This tool integrates all stages of academic research. Going beyond simple text generation, it mimics the actual research process to produce higher quality papers.
Visualization features and social media sharing options will be added in the next update! ๐Ÿ’ช

#AIResearch #AcademicWriting #ResearchAssistant #ArtificialIntelligence
reacted to aiqtech's post with ๐Ÿš€ about 7 hours ago
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435
๐ŸŒ AI Token Visualization Tool with Perfect Multilingual Support

Hello! Today I'm introducing my Token Visualization Tool with comprehensive multilingual support. This web-based application allows you to see how various Large Language Models (LLMs) tokenize text.

aiqtech/LLM-Token-Visual

โœจ Key Features

๐Ÿค– Multiple LLM Tokenizers: Support for Llama 4, Mistral, Gemma, Deepseek, QWQ, BERT, and more
๐Ÿ”„ Custom Model Support: Use any tokenizer available on HuggingFace
๐Ÿ“Š Detailed Token Statistics: Analyze total tokens, unique tokens, compression ratio, and more
๐ŸŒˆ Visual Token Representation: Each token assigned a unique color for visual distinction
๐Ÿ“‚ File Analysis Support: Upload and analyze large files

๐ŸŒ Powerful Multilingual Support
The most significant advantage of this tool is its perfect support for all languages:

๐Ÿ“ Asian languages including Korean, Chinese, and Japanese fully supported
๐Ÿ”ค RTL (right-to-left) languages like Arabic and Hebrew supported
๐Ÿˆบ Special characters and emoji tokenization visualization
๐Ÿงฉ Compare tokenization differences between languages
๐Ÿ’ฌ Mixed multilingual text processing analysis

๐Ÿš€ How It Works

Select your desired tokenizer model (predefined or HuggingFace model ID)
Input multilingual text or upload a file for analysis
Click 'Analyze Text' to see the tokenized results
Visually understand how the model breaks down various languages with color-coded tokens

๐Ÿ’ก Benefits of Multilingual Processing
Understanding multilingual text tokenization patterns helps you:

Optimize prompts that mix multiple languages
Compare token efficiency across languages (e.g., English vs. Korean vs. Chinese token usage)
Predict token usage for internationalization (i18n) applications
Optimize costs for multilingual AI services

๐Ÿ› ๏ธ Technology Stack

Backend: Flask (Python)
Frontend: HTML, CSS, JavaScript (jQuery)
Tokenizers: ๐Ÿค— Transformers library
reacted to seawolf2357's post with ๐Ÿ‘€ about 7 hours ago
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496
๐Ÿ“š Papers Leaderboard - See the Latest AI Research Trends at a Glance! โœจ

Hello, AI research community! Today I'm introducing a new tool for exploring research papers. Papers Leaderboard is an open-source dashboard that makes it easy to find and filter the latest AI research papers.

Heartsync/Papers-Leaderboard

๐ŸŒŸ Key Features

Date Filtering: View only papers published within a specific timeframe (from May 5, 2023 to present)
Title Search: Quickly find papers containing your keywords of interest
Abstract Search: Explore paper content more deeply by searching for keywords within abstracts
Automatic Updates: The database is updated with the latest papers every hour

๐Ÿ’ก How to Use It?

Select a start date and end date
Enter keywords you want to find in titles or abstracts
Adjust the maximum number of search results for abstract searches
Results are displayed neatly in table format
reacted to openfree's post with ๐Ÿš€๐Ÿ”ฅ 1 day ago
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1865
๐Ÿง  ThinkFlow: The Revolutionary Platform That Gives LLMs the Power to Think ๐Ÿš€

Hello AI community! We're excited to introduce you to ThinkFlow, an innovative service that transforms how language models solve problems. ๐ŸŽ‰
VIDraft/ThinkFlow-llama

โœจ What is ThinkFlow?
ThinkFlow is a groundbreaking platform that automatically applies step-by-step reasoning capabilities to existing LLM models without any modifications. It makes complex problem-solving transparent, allowing you to witness the model's thought process in real-time.

๐Ÿ” Key Features

Reasoning Without Model Modifications: Add step-by-step reasoning while utilizing existing LLMs as they are โš™๏ธ
Visualized Thinking Process: See exactly how the model analyzes and solves problems ๐Ÿ‘๏ธ
Before & After Comparison: Compare standard responses with reasoning-enhanced outputs in real-time ๐Ÿ“Š
Improved Accuracy: Deliver more accurate solutions for complex math and logic problems ๐Ÿ“ˆ
Educational Value: Teach students systematic approaches to problem-solving ๐Ÿ‘จโ€๐Ÿซ
User-Friendly Interface: Intuitive and easy-to-use UI for seamless experience ๐Ÿ–ฅ๏ธ

๐Ÿ’ก What Problems Can It Solve?
ThinkFlow is particularly effective for various domains including:

Complex mathematical problems ๐Ÿงฎ
Logic puzzles ๐Ÿงฉ
Questions requiring multi-step reasoning ๐Ÿค”
Scientific analysis challenges ๐Ÿ”ฌ
Complex decision-making processes ๐Ÿ“

๐Ÿ‘จโ€๐Ÿ’ป Technical Details
ThinkFlow is built on the meta-llama/Llama-3.1-8B-Instruct model and uses carefully designed prompt chains to guide the model through step-by-step thinking. Each reasoning step builds upon the results of previous steps, culminating in a comprehensive final answer.

๐Ÿ’ฌ Join Our Community!
If you have questions or suggestions about ThinkFlow, join our Discord community: https://discord.gg/openfreeai
Let's build better AI reasoning experiences together! ๐Ÿ’ช

#AI #LLM #ReasoningAI #ThinkFlow #HuggingFace #OpenSource #AIEducation
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