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Are LLMs Just ETL Pipelines on Steroids? Rethinking AI Training

We talk a lot about Large Language Models (LLMs) like GPT, Claude, and Llama – their incredible generative capabilities, their potential, and their complexities. But have you ever stopped to think a...

15.04.2025 0 Read More

An introduction to AI and Deep Learning

https://github.com/tambetvali/LaegnaAIBasics - this is the main page for my Deep Learning introduction. Main page: this is the introduction document, where I tried to represent the ideas more simply, ...

15.04.2025 0 Read More

Launching My AI Portfolio – Brian Tham

Introducing My New Digital Identity: 💎 tham.ai 💎 For the past few years, I’ve used 🖥️ briantham.com 🖥️ brian-tham.com to showcase my work. Today, I’m excited to launch a...

16.04.2025 0 Read More

Demystifying CNN Training Using ResNet50 for Agricultural Automation

🌾 Demystifying CNN Training Using ResNet50 for Agricultural Automation How can deep learning revolutionize agriculture? With the power of computer vision and models like ResNet50, it’s n...

17.04.2025 0 Read More

How HyDE Evaluation Makes Document Search Faster and More Accurate

Finding the correct document rapidly and precisely is crucial in the fast-paced society of today. Time and accuracy are crucial whether you are a student searching for vital information or a professi...

17.04.2025 0 Read More

Cracking the Code of Deep Learning: A Must-Read for Devs and Dreamers

Deep learning has become the nucleus of modern artificial intelligence, powering everything from voice assistants and recommendation systems to medical imaging and autonomous vehicles. For developers ...

18.04.2025 0 Read More

How to Use TensorRT to Accelerate Deep Learning Inference on NVIDIA GPUs

Deploying deep learning models to production requires speed and efficiency. TensorRT is a powerful SDK from NVIDIA that can optimize, quantize, and accelerate inference on NVIDIA GPUs. In this article...

19.04.2025 0 Read More

GEN-AI 2 : Auto Encoders

  📌 What Are Generative Models? Generative Models are machine learning algorithms that learn the underlying patterns or distribution of a dataset to generate new data that resembles the o...

19.04.2025 0 Read More

GEN-AI 4 : GAN

In the world of generative models, Variational Autoencoders (VAEs) were among the first to show us how machines can learn to create new data. But they came with limitations which sparked the need for...

19.04.2025 0 Read More

GEN-AI 5 : WGAN and WGAN-GP

Why ❌ GAN In the ever-evolving landscape of generative models, GANs have taken center stage with their remarkable ability to generate data that mimics real-world distributions. But as with...

19.04.2025 0 Read More

Are LLMs Just ETL Pipelines on Steroids? Rethinking AI Training

An introduction to AI and Deep Learning

Launching My AI Portfolio – Brian Tham

Demystifying CNN Training Using ResNet50 for Agricultural Automation

How HyDE Evaluation Makes Document Search Faster and More Accurate

Cracking the Code of Deep Learning: A Must-Read for Devs and Dreamers

How to Use TensorRT to Accelerate Deep Learning Inference on NVIDIA GPUs

GEN-AI 2 : Auto Encoders

GEN-AI 4 : GAN

GEN-AI 5 : WGAN and WGAN-GP

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