Artificial Intelligence

AI Problem Solving using Chain of Thought (CoT) Modelling

Mamba - The Next Evolution in AI Language Processing

Mamba represents a groundbreaking advancement in the field of language modelling, in many cases surpassing the capabilities of traditional Transformer models, with remarkable speed and cost-effectiveness.

Ferret AI from Apple - revolutionary multimodal AI technology

Apple has finally joined the AI community with its release of Ferret, a multimodal large language model that is particularly good at identifying regions within images.

Harnessing AI for Image Recognition in Finance - the JP Morgan journey

JPMorgan is looking at using image recognition to support buy/sell trading decisions -achieving an impressive 95% accuracy rate in training

AI Large Language Models

Large Language Models (LLMs) are digital tools trained to understand and generate human language, widely used for tasks like answering questions, writing assistance, and chatbot interactions

AI Learning and Training Approaches

Learning Types refer to the fundamental ways in which an AI model learns from data. This category includes: Supervised Learning, Unsupervised Learning and Reinforcement Learning

A Neural Network and Overfitting Analogy

It can be hard to understand Neural Networks and Overfitting so we've come up with an analogy based on a team of high school teachers to try and explain the concepts more clearly.

Choosing or Coding a Neural Network

While crafting a neural network from scratch is feasible, it's often more practical to select a pre-trained one from libraries like Hugging Face and adapt it to your needs.

A short history of Artificial Intelligence

A short history of AI from 1950 to today.

AI Learning Types - Supervised Learning

Supervised learning uses labelled data to predict the outcome