Blog Posts
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Shopping Around for MLLMs: Which Model Best Transcribes Handwritten Text?
Partake in a delightful feast as we shop around for the best MLLM for handwritten text recognition! I evaluated GPT-4o (August and May versions), GPT-4o mini, Claude Sonnet 3.5, Opus, and Haiku. Which model ruled them all? And which MLLM exhibited a creepy behavior? 😱 Read to find out!
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The Prompt-tastic Art for Better Handwritten Text Recognition
Let's master the art of prompt engineering! In this post, I explore how different prompting tactics can dramatically enhance GPT-4o-Mini's ability to transcribe my handwritten journal notes, reducing error rates and increasing consistency.
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Evaluating GPT-4o-Mini for Handwritten Text Recognition
Here I'll detail my process of evaluating GPT-4o-Mini's capability of transcribing handwritten text from my journal notes, shedding light to some unexpected results!
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Digitizing Memories: Using GPT-4o to Transcribe My Handwritten Journal Notes
Discover how GPT-4o transcribed my handwritten journal notes into digital format, making it easier to organize and reflect on my thoughts.
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Making Math Fun: The Chocolate Chili Game
Dive into a world where chocolates, chilis, and algorithms collide in a playful journey through programming basics. Discover how I turned a classroom game into 'Dodge n Fudge'—and yes, you can play too!
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Advancing Computational Psychiatry by Linking Theory to Practice
This is my first blog post entry to the series which I’d call ‘The Stochastic Brain Review’. In this series, I will review research articles which pique my interest, get into their core, and explore some of their promising implications.
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Ready, Integrate, Fire! Part 2: Simulating a simple neuronal model
Let's simulate a leaky integrate-and-fire neuron model with static input current using Numpy! We will also verify the formula for theoretical firing rate we derived in the last blog post.
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Ready, Integrate, Fire! Part 1: Solving a simple neuronal model
For my first blog post, I will find the analytical solution of a leaky integrate-and-fire (LIF) model of a neuron under a constant injected current. Too much to handle? Read more to find out! (This is Part 1 of a series of two posts on LIF model)