Bryson Masse

Bryson Masse

Toronto
I've been closely following the growth of the generative tech business for a year. RAG is something you'll need to understand.
Aug
30
Tokens and tokenization

Tokens and tokenization

Large Language Models (LLMs) like GPT-4o and Claude 3.5 used in generative conversational interfaces rely on tokens to process
1 min read
Aug
29
Generative Conversational Interface

Generative Conversational Interface

A conversational interface is a machine learning-powered system that enables natural language interactions between humans and machines.
3 min read
Aug
28
Inferencing

Inferencing

Inferencing in large language models (LLMs) is the process of generating responses based on input prompts. It's powered by the attention mechanism, which allows the model to focus on relevant parts of the input and its vast learned knowledge.
1 min read
Aug
27
Prompt

Prompt

In the context of large language models (LLMs), a prompt is the initial input or query provided to the model, serving as the foundation for generating a response. This input can range from a simple question to a complex statement, and it sets the stage for the model's inference process.
1 min read
Aug
26
Retrieval-Augmented Generation (RAG)

Retrieval-Augmented Generation (RAG)

Let's start with the easy one, folks. Retrieval-Augmented Generation (RAG) is an advanced generative technique designed to enhance
1 min read
Aug
26
RAG is hard. Let's learn it together.

RAG is hard. Let's learn it together.

Having spent a year immersed in generative tech news, it's obvious what sort of role post-training will play
1 min read