Nano Language Models

  • GitHub
  • Bluesky
  • Medium
    • 10 Excel Tasks You Can Solve Instantly with 6SigmaMind
    • About NanoLanguageModels
    • Battle Test: How Small Models Handle SUMIFS, XLOOKUP, and T.TEST
    • Benchmarking Text-to-Excel Formula Accuracy Across SmolLM2-1.7B Small Language Model
    • Building 6SigmaMind: How I Tuned a Tiny Model to Understand Excel
    • Can a 1.7B AI Model Really Write Excel Formulas? Let’s Test It.
    • Contact
    • Granite Excel Formula Assistant – Natural Language to Excel Formulas
    • Meet 6SigmaMind: The Surprisingly Small AI That Can Write Excel Formulas for You
    • Nano Language Model — Small Models. Big Results.
    • Privacy Policy for NanoLanguageModels
    • Terms & Conditions
    • ⭐ Early Access Waitlist — Text-to-Excel Formula AI

Small Language Model

  • Curriculum Learning — Training Your SLM From Easy to Hard
    November 30, 2025

    Curriculum Learning — Training Your SLM From Easy to Hard

  • Regularization Techniques — Keeping Your SLM Stable During Training
    November 30, 2025

    Regularization Techniques — Keeping Your SLM Stable During Training

  • Learning Rate Schedules — Warmup, Decay & Why They Matter
    November 29, 2025

    Learning Rate Schedules — Warmup, Decay & Why They Matter

  • Evaluation Metrics — How to Measure SLM Performance Properly
    November 29, 2025

    Evaluation Metrics — How to Measure SLM Performance Properly

  • Overfitting vs Underfitting — Finding the Sweet Spot in SLM Training
    November 29, 2025

    Overfitting vs Underfitting — Finding the Sweet Spot in SLM Training

  • November 29, 2025

    Tokenization — How SLMs Understand Text

  • Batch Size & Gradient Accumulation — Training Efficiently on Limited Hardware
    November 29, 2025

    Batch Size & Gradient Accumulation — Training Efficiently on Limited Hardware

  • Understanding Loss Functions — How SLMs Measure Mistakes
    November 29, 2025

    Understanding Loss Functions — How SLMs Measure Mistakes

  • Learning Rates & Optimizers — How SLMs Actually Improve
    November 29, 2025

    Learning Rates & Optimizers — How SLMs Actually Improve

  • Training Loops Explained (Forward, Backward, Loss, Optimization)
    November 28, 2025

    Training Loops Explained (Forward, Backward, Loss, Optimization)

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About nano language models

NanoLanguageModels explores the fast-growing world of Small Language Models (SLMs)—compact, efficient AI systems built for real-world performance. We break down how these models work, where they shine, and how developers can build with them using Python. Our mission is to make advanced language intelligence accessible, lightweight, and practical for everyone. Discover the next generation of AI—smaller, faster, and smarter.

  • GitHub
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Blog at WordPress.com.

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