AI Explainers

How AI benchmarks work

Understand how AI benchmarks measure and compare the performance of different artificial intelligence models.

How LLMs work

Explore how large language models (LLMs) process and generate human-like text, revolutionizing AI applications.

What is a foundation model?

Foundation models are large-scale AI systems trained on diverse data that can perform a wide range of tasks without exte…

What is fine-tuning?

Fine-tuning is a technique in machine learning that adapts pre-trained models to perform specific tasks more accurately.

What is LoRA?

Explore LoRA: a technique that enhances large language models with low-rank adaptation for efficient and targeted learni…

What is model distillation?

Model distillation is a technique that simplifies complex AI models to make them faster and more efficient without losin…

What is multimodal AI?

Multimodal AI combines data from multiple sources to enhance machine learning models, enabling more human-like understan…

What is RAG?

RAG is a retrieval-augmented generation model that combines information retrieval and language generation to improve AI'…

What is RLHF?

RLHF is a training method that teaches AI models to align better with human preferences and intentions.

What is synthetic data?

Explore how synthetic data is created and its crucial role in training AI models without compromising real-world privacy…