Posts tagged "ai"

How LLMs are guided to produce valid, structured outputs through token-level filtering.

My journey understanding AI, Machine Learning, LLMs, and the various models, patterns, companies, and concepts that shape this field.

Notes on knowledge graphs, RAG, and integrating them with LLMs for conversational applications.

Notes on the paradigm shift from traditional software to neural network-based software.

Notes on Stephen Wolfram's comprehensive explanation of how ChatGPT works.

A curated reading list for understanding AI, machine learning, and LLMs.

The error correction mechanism in neural networks.

What attention heads are and how they affect model performance.

What hidden dimensions are in transformer architectures.

How the number of layers affects neural network depth and performance.

Using LLMs on new data without fine-tuning.

The optimization algorithm used to train neural networks.

Computer scientist, entrepreneur, and creator of Mathematica and Wolfram Alpha.

Computational biologist and pioneer in neural network research.

The Guardian's GPT-3 written article - food for thought on AI.

The limits of image recognition without depth analysis.