#lorenzoprotocol $BANK The future of decentralized yield is here! @Lorenzo Protocol ol bringing a seamless way to earn with real sustainability. Their innovative approach to liquid staking and strong token utility is making $BANK a powerful asset for the next wave of DeFi users. #lorenzoprotocol
#yggplay $YGG Die Zukunft des Web3-Gamings ist hier! 🎮 Das YGG Play Launchpad von @YieldGuild ildGames ist jetzt live, und bietet den Spielern eine neue Möglichkeit, die besten Web3-Spiele zu entdecken, aufregende Quests abzuschließen und sogar direkt über das Launchpad Zugriff auf frische Spiel-Token zu erhalten. Dies ist der perfekte Moment, um deine Gaming-Reise mit #YGGP lay auf die nächste Stufe zu heben und dabei echten Wert zu verdienen! $YGG
#injective $INJ Excited to dive into the future of DeFi with @Injective Injective and its creator-ecosystem via the new campaign! Showcasing how builders, traders and community members can come together under #Injective🔥 ve to unlock real utility with $INJ . Check out the CreatorPad here: https://tinyurl.com/inj-creatorpad and let’s build something meaningful together!
#BinanceLiveFutures Very good project and strong team in a predictable and transparent road map, planned and projected.I think in the near future we will see an unprecedented growth of this project..
#plasma $XPL Exploring @Plasma and its groundbreaking innovations in cross-chain scalability! 🚀 The $XPL network is redefining transaction speed and cost efficiency across the blockchain ecosystem. Excited to see how #Plasma empowers the next generation of Web3 projects! 🔥
#linea $LINEA Exploring @lineaeth has been a game changer! 🚀 Their zkEVM technology brings unmatched scalability and efficiency to the Ethereum ecosystem. I’m excited to see how $LINEA continues pushing the limits of Web3 innovation. #Linea
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#polygon $POL Big shout-out to @Polygon olygon: the future of blockchain comes together with #Polygon ygon as it powers seamless multi-chain experiences, makes transactions instant and ultra-low-cost, and enables real-world assets to flourish. With $POL you’re not just holding a token—you’re joining the backbone of a Web3 ecosystem built for scale, efficiency and cross-chain unity.
#morpho $MORPHO Exploring the next evolution of DeFi with @Morpho Labs 🦋 morpholabs -where efficiency meets innovation. The power of lending and borrowing redefined by community and transparency. #Morpho $MORPHO
Hemi: The Future of Modular AI on Blockchain The world is moving toward AI-driven decentralization, and Hemi is right at the center of it. 🧠 What is Hemi? Hemi is a modular AI network that connects decentralized compute power with AI models — making intelligent applications faster, cheaper, and borderless. #hemi $HEMI
Welcome to Holoworld AI – Where Digital Intelligence Meets the Real World! 🤖🌍 In the era of AI-driven innovation, Holoworld AI is redefining how humans interact with virtual intelligence. Built on advanced machine learning and blockchain transparency, Holoworld creates a living ecosystem of intelligent digital beings—autonomous, creative, and evolving with every interaction. #holoworldai $HOLO
This is an addictive yet @Calderaxyz a-of-the-art card-trading game that uses a ground-breaking new$ERA gaming method. With the perfect combination of fighting and strategy, this game becomes thrillingly immersive and is split up into separate three-minute games. #caldera @Calderaxyz #ModularBlockchain $ERA
Tokens are the basic units LLMs use to process text. They can represent:
Whole words (“apple”)
Sub‑words (“appl” + “e”)
Punctuation or spaces (“,”, “ ”) Business Insider +15 OpenAI Help Center +15 The New Stack +15 AI Rabbit Blog +1 Reddit +1 Reddit +1 Reddit +1 Exgenex +8 Medium +8 Reddit +8
For example, “How are you?” typically splits into 4 tokens: ["How", " are", " you", "?"]. OpenAI Help Center +2 Medium +2 Reddit +2
🔢 How Many Words Is 100 Tokens? Rough estimates for English:
1 token ≈ 4 characters
1 token ≈ 0.75 words
100 tokens ≈ 75 words Reddit +8 Exgenex +8 Reddit +8 Reddit +9 OpenAI Help Center +9 Medium +9
Language (non‑English text often uses more tokens)
Punctuation, formatting, special characters (e.g. emojis, URLs) Knapsack +14 Medium +14 AI Rabbit Blog +14 Reddit +1 Reddit +1 Exgenex
🛠️ Why Tokens Matter Cost – Many APIs charge per token processed (input + output).
Model limits – LLMs have context windows (e.g., GPT‑3.5: 4,096 tokens; GPT‑4 Turbo may go up to 128K) NVIDIA Blog +4 KodeKloud Notes +4 Medium +4 magicdoor.ai +3 LinkedIn +3 Metric Coders +3
Efficiency – Understanding token usage helps optimize prompts and control model behavior.
✅ Quick Reference Table Unit Token Count ~1 sentence 30 tokens ~1 paragraph 100 tokens ~75 words ~100 tokens ~1,500 words ~2,048 tokens
Exgenex +15 OpenAI Help Center +15 LinkedIn +15
Summary 100 tokens ≈ 75 words (in English)
Roughly a short paragraph
Useful for estimating prompt length, cost, and model usage
If you'd like me to analyze a specific text or convert words → tokens using an online tokenizer, just share it—I’d be happy to help!
Models have maximum token limits—e.g., GPT‑3.5 Turbo handles up to 4,096 tokens, GPT‑4 up to 8,192 or 32,768, and GPT‑4 Turbo can handle up to 128k tokens OpenAI Community +5 Wikipedia +5 Reddit +5 tokencalculator.online .
Why tokens matter Cost: Billing is per token. (e.g., GPT‑4 Turbo costs $0.01/1k input tokens and $0.03/1k output tokens) Reddit +4 tokencalculator.online +4 Reddit +4 .
Memory: Once the conversation exceeds the token limit, earlier messages get “forgotten.”
Checking token usage Use OpenAI's Tokenizer tool to see how your text splits into tokens: enter your text at platform.openai.com/tokenizer Reddit +3 Reddit +3 Reddit +3 Reddit +6 OpenAI Help Center +6 ChatGPT Plus Blog +6 .
Programmatically, use the Tiktoken library to count tokens in code Reddit +3 OpenAI Help Center +3 ChatGPT Plus Blog +3 .
TL;DR Table Concept Approximation 1 token ≈ 4 chars in English text 1 token ≈ ¾ word 100 tokens ≈ 75 words
Models have maximum token limits—e.g., GPT‑3.5 Turbo handles up to 4,096 tokens, GPT‑4 up to 8,192 or 32,768, and GPT‑4 Turbo can handle up to 128k tokens OpenAI Community +5 Wikipedia +5 Reddit +5 tokencalculator.online .
Why tokens matter Cost: Billing is per token. (e.g., GPT‑4 Turbo costs $0.01/1k input tokens and $0.03/1k output tokens) Reddit +4 tokencalculator.online +4 Reddit +4 .
Memory: Once the conversation exceeds the token limit, earlier messages get “forgotten.”
Checking token usage Use OpenAI's Tokenizer tool to see how your text splits into tokens: enter your text at platform.openai.com/tokenizer Reddit +3 Reddit +3 Reddit +3 Reddit +6 OpenAI Help Center +6 ChatGPT Plus Blog +6 .
Programmatically, use the Tiktoken library to count tokens in code Reddit +3 OpenAI Help Center +3 ChatGPT Plus Blog +3 .
TL;DR Table Concept Approximation 1 token ≈ 4 chars in English text 1 token ≈ ¾ word 100 tokens ≈ 75 words
Modelle haben maximale Tokenlimits – z. B. verarbeitet GPT‑3.5 Turbo bis zu 4.096 Tokens, GPT‑4 bis zu 8.192 oder 32.768, und GPT‑4 Turbo kann bis zu 128k Tokens verarbeiten OpenAI-Community +5 Wikipedia +5 Reddit +5 tokencalculator.online .
Warum Tokens wichtig sind Kosten: Abrechnung erfolgt pro Token. (z. B. kostet GPT‑4 Turbo 0,01 USD/1k Eingabetokens und 0,03 USD/1k Ausgabetokens) Reddit +4