Farhan Ahmed·Oct 23Integrating Trend Micro Vision One Logs with Wazuh: Syslog, CEF Decoders, and RulesThis walkthrough documents a syslog-to-Wazuh workflow using CEF messages whose headers identify Trend Micro Deep Security Agent and Deep…
InTowards AIbyDr Swarnendu AI·Sep 25Why The Words You See Are Already Chosen (How Decoding Actually Works)The model has computed logits. These are raw, unnormalized numbers that come directly out of the neural network. Let’s say for a vocabulary…
Srushti Kulkarni·Sep 22LLM Series-Part 1: What Is an LLM and How Is It Built? (For Absolute Beginners)Introduction
Ganesh Sundaram·Sep 9Part 4: The Decoder Wins: How One Architecture Took Over Generative AIWhen Google introduced the original Transformer in 2017, it wasn’t a single model. It was a partnership. An Encoder to read and comprehend…
Swastik Shukla·Jul 9Are Encoder-Only Models Actually Better at Understanding?A math-first look at BERT-style vs GPT-style transformers, and why almost nothing you talk to is encoder-only
Kaushik KC·Jun 17I built a transformer from scratch, and here’s what actually clickedSo I had this nagging feeling for a while. I’d used transformers plenty call a model, fine-tune it, get a result but if you’d asked me to…
Sreekanth·May 10Overview of Transformer ArchitectureWhat is a transformer?A response icon1A response icon1
Aranya Ray·Apr 3Micro-GPT2 — Building GPT-2 (124M) from Scratch in PyTorchEver wondered what actually happens inside GPT-2 — the model that kicked off the modern era of large language models?
sunday ayandele·Mar 19Encoder, Decoder, and Encoder–Decoder Models: The Architectural DNA of LLMsNot all Transformer models are built the same. Encoder-only, decoder-only, and encoder–decoder architectures serve different enterprise…
