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Prince Krampah

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Aug 13

Fine-Tuning LLMs, Part 3: Hands-On SFT with LoRA, Training SmolLM3–3B on a Free Colab T4

Hello guys, welcome back to another exciting article in our series on Post-training of Large Language Models. In the last article, we…

Fine-Tuning LLMs, Part 3: Hands-On SFT with LoRA, Training SmolLM3–3B on a Free Colab T4

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Prince Krampah

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Jul 21

Fine-Tuning LLMs, Part 2: SFT, LoRA, DPO, and the RL Methods That Power Reasoning Models

In the last article, we have covered what is fine-tuning, in this section we’ll look into the different techniques of fine-tuning and get…

Fine-Tuning LLMs, Part 2: SFT, LoRA, DPO, and the RL Methods That Power Reasoning Models

Prince Krampah

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Jun 23

When the API Isn’t Enough: A Practical Guide to Fine-Tuning, LoRA, and Quantization

With the rapid rise of large language models, most of us just build applications that consume third party API, this is so common we even…

When the API Isn’t Enough: A Practical Guide to Fine-Tuning, LoRA, and Quantization

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Prince Krampah

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Mar 24

How Tokenization and Embeddings Actually Works In LLMs | Deep Dive

From the previous article, we have gained a bit of understanding when it comes to representing natural language to computer systems, large…

How Tokenization and Embeddings Actually Works In LLMs | Deep Dive

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Prince Krampah

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Mar 10

Multi-Head Attention In Transformer LLMs

Hello guys, welcome back to another exciting article in our series on understanding Transformer LLM architecture. In the previous article…

Multi-Head Attention In Transformer LLMs

Prince Krampah

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Mar 3

Sampling and The Different Types Of Sampling

Going back to one of my examples from previous articles in this series, where we talked about calculating the average height of the human…

Sampling and The Different Types Of Sampling

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Prince Krampah

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Mar 1

Understanding How Self-attention Works In LLMs From Scratch

Hello guys, welcome back to another exciting article in our series on understanding how Large Language Models (LLMs) work under the hood…

Understanding How Self-attention Works In LLMs From Scratch

Prince Krampah

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Feb 24

High Level Overview Of The Transformer Blocks In Large Language Models

What if I told you that the same mechanism powering ChatGPT, Claude, and virtually every cutting-edge AI system today traces back to a…

High Level Overview Of The Transformer Blocks In Large Language Models

Prince Krampah

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Feb 17

Levels Of Measurement Or Scales Of Measurement

In our last article, we explored the foundational distinction between descriptive and inferential statistics, two broad approaches to…

Levels Of Measurement Or Scales Of Measurement

Prince Krampah

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Feb 10

Descriptive Statistics And Inferential Statistics

Have you ever wondered how scientists make claims about millions of people by studying just a few thousand? Or how pollsters predict…

Descriptive Statistics And Inferential Statistics

Prince Krampah

Prince Krampah

Hello there , am Prince a full-stack web developer, data science enthusiast, lover of Python Programming with a deep interest in deep learning, computer vision

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