LLMs

Elevating Large Language Models with Retrieval-Augmented Generation

Dive deep into Retrieval-Augmented Generation (RAG) models. Understand their architecture, implementation with LlamaIndex, and diverse applications Picture this: a computer that can write like a person, but with the superpower of reading through a whole library in seconds to give the best answers possible. Welcome to the world of Retrieval-Augmented Generation or RAG for short. …

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Advancing LLM Fine-Tuning with Group Relative Policy Optimization (GRPO)

Reinforcement Learning (RL) has become a powerful technique for fine-tuning large models, especially Large Language Models (LLMs), to improve their performance on complex tasks. One of the latest innovations in this area is Group Relative Policy Optimization (GRPO), a new RL algorithm introduced by the DeepSeek team. GRPO was designed to tackle the challenges of …

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