Large Language Models (LLMs)

Auto Added by WPeMatico

Build a Reasoning LLM from Scratch: A Complete Guide to GRPO, RoPE & Pretraining.

ai, AI (Artificial Intelligence), AI in Engineering, Artificial Intelligence, Build LLM from Scratch, deep learning, GPT Architecture, GRPO, Large Language Models, Large Language Models (LLMs), LLM training, LLMOps (Large Language Model Operations), Machine Learning, QK Norm, Reasoning LLM, RMSNorm, RoPE, Spritle Blog, Transformer Architecture

Introduction A reasoning LLM is a language model trained not just to predict the next word, but to work through a problem step by step and verify its own conclusions before answering the approach behind models like OpenAI’s o1 and DeepSeek’s R1. This guide condenses a practical path to building a compact 300–400M parameter GPT-style […]

Build a Reasoning LLM from Scratch: A Complete Guide to GRPO, RoPE & Pretraining. Read More »

Lessons from IMDA’s LLM Testing Starter Kit: An AI Assurance Perspective

Agentic AI security, ai, AI (Artificial Intelligence), AI Assurance, AI assurance framework, AI Governance, AI governance and compliance, AI red teaming, AI Risk Management, ai safety testing, AI security, Artificial Intelligence, Enterprise AI assurance, Large Language Models (LLMs), LLM testing best practices, OWASP Top 10 for LLMs, Prompt injection testing, Responsible AI, Spritle Blog, SpritleSoftware

Quality Assurance has always been about understanding risk and validating systems before they reach production. After more than eight years in QA and now working in AI security, governance, and red teaming, I often compare traditional testing practices with the challenges introduced by AI systems. While the risks have evolved from software defects to hallucinations,

Lessons from IMDA’s LLM Testing Starter Kit: An AI Assurance Perspective Read More »