LLM Articles

Get ready for your AI interview with 30 key RAG interview questions that cover foundational to advanced concepts.

OpenAI o1 is a new series of models from OpenAI excelling in complex reasoning tasks, using chain-of-thought reasoning to outperform GPT-4o in areas like math, coding, and science.

AI chips are specialized processors designed to accelerate the execution of artificial intelligence tasks, typically involving large-scale matrix operations and parallel processing.

Meta AI's SAM 2 (Segment Anything Model 2) is the first unified model capable of segmenting any object in both images and videos in real-time.

Distillation is a technique in LLM training where a smaller, more efficient model (like GPT-4o mini) is trained to mimic the behavior and knowledge of a larger, more complex model (like GPT-4o).

Discover 12 LLM project ideas with easy-to-follow visual guides and source codes, suitable for beginners, intermediate students, final-year scholars, and experts.

Vector embeddings are numerical representations of words or phrases that capture their meanings and relationships, helping machine learning models understand text more effectively.

MoME (Mixture of Million Experts) is a scalable language model using Mixture of Experts (MoE) with a routing mechanism called PEER to efficiently utilize millions of specialized networks.