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Articole: 7

  1. Building a Chess Bot with HSTU: From Lichess Pretraining to Value Search

    (Introduction on /home/vigi99)

    Build Log Snapshot# This is my running build log for imba-chess.

  2. FlexAttention HSTU at 500M Events: RQ Tokens, QR Embeddings, and 1D Biases

    (Introduction on /home/vigi99)

    Executive Summary# At Yambda scale (about 500M events and 9.4M items), models rarely break because one idea is bad.

  3. Distribution for SDE Salaries in India

    (Introduction on /home/vigi99)

    Overview# I recently was having discussions with junior engineers about salary expectations for Software Development Engineers (SDEs) in India, especially how it changes with years of experience.

  4. The Role of Negative Mining in Machine Learning: Bridging the Gap in Model Performance

    (Introduction on /home/vigi99)

    Introduction# Machine learning models are excellent tools for making predictions or classifications.

  5. Supervised Fine-Tuning in Large Language Models

    (Introduction on /home/vigi99)

    The Power of Supervised Fine-Tuning in Large Language Models: An In-depth Analysis# Introduction# In recent years, the development of machine learning, particularly large language models (LLMs), has revolutionized the way we approach a multitude of challe…

  6. Machine Learning Engineer Roadmap

    (Introduction on /home/vigi99)

    Mastering the Art of AI Development: A Detailed Roadmap from Data to Deployment# Introduction# Developing an effective artificial intelligence (AI) model is akin to embarking on a long, complex journey.

  7. Entity Resolution using Contrastive Learning

    (Introduction on /home/vigi99)

    Introduction to Entity Resolution# Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, we…