Nothing here yet.
Nothing here yet.
Dec 12, 2025 · 5 min read · Retrieval Augmented Generation (RAG) is evolving from a simple retrieval-plus-generation method into a full engineering discipline. Modern RAG systems now require thoughtful design choices, query optimization, hybrid retrieval, multi-stage ranking, a...
Join discussion
Dec 11, 2025 · 4 min read · Large Language Models (LLMs) are powerful, but they have a well-known limitation: they can only answer questions based on the data they were trained on. If an LLM was trained in 2023, it won’t magically know what happened in 2024. It can also “halluc...
Join discussion
Dec 10, 2025 · 4 min read · Building a Thinking Model from a Non-Thinking Model Using Chain-of-Thought Introduction LLM’s vary widely in their reasoning capabilities. Some models can perform multi-step reasoning transparently, while others can only give direct answers without s...
Join discussion
Sep 8, 2025 · 3 min read · Prompt engineering is the art of getting the best out of large language models (LLMs) like GPT-4 or Gemini. Whether you’re building a chatbot, coding assistant, or an AI judge, the way you “talk” to your model matters—a lot! In this article, I’ll wal...
Join discussion
Sep 6, 2025 · 4 min read · Hii there you guys let’s start today with the Generative AI (Gen AI) and also let’s decode the GPT’s. What is Gen AI? Gen AI is a field of AI that deals in generate some data based on the given input prompt and some pre-trained dataset. It could be a...
Join discussion