Month: June 2025

5 Key Metrics to Evaluate Few-Shot Remote Sensing Models

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Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

Top Remote Sensing Datasets for Training and Evaluating AI Models

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Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

Understanding the 3 Main Types of Remote Sensing Sensor Data

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Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

Few-Shot vs. One-Shot vs. Zero-Shot Learning

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Table of Links Abstract and Introduction Backgrounds Type of remote sensing sensor data Benchmark remote sensing datasets for evaluating learning models Evaluation metrics for few-shot remote sensing Recent few-shot learning techniques in remote sensing Few-shot based object detection and segmentation in remote sensing Discussions Numerical experimentation of few-shot classification on UAV-based dataset Explainable AI (XAI) … Read more

How Few-Shot Learning Enhances UAV-Based Image Analysis

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:::info Authors: (1) Gao Yu Lee, School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, 639798, Singapore (GAOYU001@e.ntu.edu.sg); (2) Tanmoy Dam, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 65 Nanyang Drive, 637460, Singapore and Department of Computer Science, The University of New Orleans, New Orleans, 2000 Lakeshore Drive, LA 70148, … Read more

Multi-Token Prediction Performance on GSM8K Mathematical Reasoning

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Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Multi-Token Prediction for Abstractive Text Summarization: ROUGE Metrics

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Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

A day of LA anti-ICE protests in photos

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Protesters from The Contra Tiempo Artivist Theater at Grand Park in Los Angeles, Calif., June 9, 2025. | Photo: Ariana Drehsler / The Verge On Monday after a weekend of demonstrations, hundreds of people flocked to Downtown Los Angeles for another round – to support loved ones who’ve been detained during recent immigration protests or … Read more

Limited Gains: Multi-Token Training on Natural Language Choice Tasks

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Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Asia Morning Briefing: BTC Slips Below $110K as ‘Signs of Fatigue’ Emerging

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Good Morning, Asia. Here’s what’s making news in the markets: Welcome to Asia Morning Briefing, a daily summary of top stories during U.S. hours and an overview of market moves and analysis. For a detailed overview of U.S. markets, see CoinDesk’s Crypto Daybook Americas. Bitcoin is trading below $110,000, changing hands at $109.7K, as Asia … Read more

CodeContests Finetuning: Details for Multi-Token LLMs

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Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Boost Your YouTube CTR with This Smart, Simple Thumbnail Generator

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If you’re anything like me, you’ve probably watched creators spend hours perfecting their YouTube thumbnails—tweaking colors, positioning text, testing fonts—and still end up unsure if it’ll perform well. As someone who loves both building things with code and watching YouTube creators grow, I decided to tackle this issue. I built Thumbnail X—an AI tool that … Read more

LLM Performance Scaling: Multi-Token Prediction Across Model Sizes

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Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Llama 2 Finetuning Results: Multi-Token Prediction on Coding Benchmarks

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Table of Links Abstract and 1. Introduction 2. Method 3. Experiments on real data 3.1. Benefits scale with model size and 3.2. Faster inference 3.3. Learning global patterns with multi-byte prediction and 3.4. Searching for the optimal n 3.5. Training for multiple epochs and 3.6. Finetuning multi-token predictors 3.7. Multi-token prediction on natural language 4. … Read more

Who’s Really Making Money in Web3? Insights From a Business Strategist

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Web3 has evolved far beyond the experimental phase. Today, it’s a high-performing, multi-billion-dollar economy with real clients, real products, and real capital at stake. Every time I sit down with a client—often with 10–15 years in traditional sales or venture—they ask the same thing: n “Who’s actually earning here, and how do we get in … Read more