💰 Tokenomics - emschwartz · Scour

JoyAI-LLM Flash: Advancing Mid-Scale LLMs with Token Efficiency 🏗️LLM Infrastructure

arxiv.org·4d

AI to ROI Metrics: Infrastructure Cost Optimization 🏗️Infrastructure Economics

ai2roi.substack.com·2d·Substack

Excited to share my latest open-source project: KubeCost Guardian 🔓Open Source Software

techcommunity.microsoft.com·8h

Multimodal AI Systems: Scalability & Cost Optimization 📱Edge AI Optimization

pub.towardsai.net

·1d

Aria Networks raises $125M and debuts its approach for AI-optimized networks 🔗High-Speed Networking

networkworld.com·2d

Understanding tokenization and consumption in LLMs 🔤Tokenization

cio.com·14h

Understanding tokenization and consumption in LLMs 🔤Tokenization

oodaloop.com

·8h

LLM visibility tools, agentic buying, and the slow death of precision targeting 💳AI Commerce

google.com·4d

The 10,184 Token Tax 🔤Tokenization

medium.com·16h

Stop Wasting Tokens: How to Cut Your LLM Costs by 97% 🏗️LLM Infrastructure

rapidapi.com·2d·DEV

SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking 🧮SMT Solvers

arxiv.org·20h

Speed Run to Legacy: How Cheap AI Tokens Hide Expensive Mistakes 📊Model Serving Economics

bitbrawn.com·3d·Hacker News

The Token-Burn Trap: Silicon Valley's AI Metric Is a Competitive Liability 📊Model Serving Economics

simdecisions.com·1d·Hacker News

LLM visibility tools, agentic buying, and the slow death of precision targeting 💳AI Commerce

ppc.land·4d

APE vs Human vs LLM Editing 🏆LLM Benchmarking

blog.pangeanic.com·2d

Forked an AI job search tool — cut token usage by 85% and made it actually scalable! 💳Content Monetization

github.com·3d·r/SideProject

Dual-Pool Token-Budget Routing for Cost-Efficient and Reliable LLM Serving 🏗️LLM Infrastructure

arxiv.org·20h

Babbling Suppression: Making LLMs Greener One Token at a Time 🏗️LLM Infrastructure

arxiv.org·1d

Compact Constraint Encoding for LLM Code Generation: An Empirical Study of Token Economics and Constraint Compliance 🔤Tokenization

arxiv.org·1d

Controlling Distributional Bias in Multi-Round LLM Generation via KL-Optimized Fine-Tuning 🧠LLM Inference

arxiv.org·2d