Large Language Model

RAG: Giving LLMs Long-Term Memory

Retrieval-Augmented Generation lets LLMs answer questions about documents they were never trained on — by searching a database and injecting relevant context at inference time.

RLHF: How ChatGPT Learned to Be Helpful

Pre-training gives a model knowledge. RLHF (Reinforcement Learning from Human Feedback) gives it alignment — teaching it to be helpful, harmless, and honest.

2025: The Year of AI Agents

Every major AI lab has declared 2025 'the year of agents'. Autonomous AI systems that browse, code, and act are moving from research demos to production products.

The Big Labs Are Releasing Models Faster Than Ever

OpenAI, Anthropic, Google, and Meta are now releasing major model updates every few months. The pace of improvement is compressing what used to take years into quarters.

Industry Transformation: The Impact of LLMs

Large Language Models are reshaping industries by automating tasks, improving productivity, and creating new job roles. They allow businesses to streamline processes, but also challenge existing job structures in diverse fields.

AI Agents: When Models Can Take Actions

An AI agent doesn't just generate text — it uses tools, browses the web, writes and runs code, and takes multi-step actions to complete goals autonomously.