09Oct/25
Artificial Intelligence: Vector Embeddings
A blog post looking at what vector embeddings are, how to generate a vector embedding, and what a vector embedding looks like.
AI in Government and Academia Summit 2025 (Manchester, UK)
On Thursday 11th September 2025 I attended the “AI in Government and Academia Summit 2025” hosted by Manchester Metropolitan University (MMU), the Department for Science, Innovation, & Technology (DSIT), and Government Digital Service (GDS). The day was co-chaired by Dr Tommaso Spinello (DSIT) and Professor Keeley Crockett (MMU) and opened by Professor Darren Dancey. Starting events […]
19Jun/25
Personal Update: BCS Essential Certificate in Artificial Intelligence (AI)
We are currently in an Artificial Intelligence (AI) summer, with new AI solutions and AI features appearing in various technologies. The popularity and usage of AI is growing which brings both positives (automation, new solutions) and negatives (ethical issues, bias). As I’m using AI in my professional role, and at home for my personal projects […]
Artificial Intelligence: What Are The Asilomar Principles?
Asimov had the three laws in his fictional robots stories to protect humans and robots, but what about in non-fiction? Asilomar Conference on Beneficial AI The Asilomar Conference was organised by the Future of Life Institute and took place in January 2017 at the Asilomar Conference Grounds (California), with many researchers, experts and thought leaders […]
Artificial Intelligence: What is the Gorilla Problem?
Professor Stuart Russell used the term “The Gorilla Problem” in his book, “Human Compatible” (Penguin, 2019), to describe how a super intelligent artificial intelligence (AI) could be a threat to humanity. Russell poses the problem “of whether humans can maintain their supremacy and autonomy in a world that includes machines with substantially greater intelligence“. At […]
AI For Good – Book Review
As part of my ongoing CPD I am learning more about Artificial Intelligence (AI), and as someone who enjoys reading that gave me another reason to read “AI For Good: Applications in Sustainability, Humanitarian Action, and Health“. Published by Wiley in 2024, and edited by Juan M. Lavista Ferrers (PhD, MS) and William B Weeks […]
LLM – Terminology To Help
My current learnings around Large Language Models (LLMs) has lead to me running into more acronyms and terms that have either left my memory or are new to me. I decided a blog post was needed to help me keep track. NLP Natural Language Processing. The use of Machine Learning (ML) and Deep Learning (DL) […]
LLM – Retrieval Augmented Generation (RAG) with Ollama Embeddings
The work on the Large Language Model (LLM) bot so far has seen the running of LLM locally using Ollama, a switch in models (from tinyllama to gemma) whilst introducing LangChain and then the switch to LangChain templates. Note: If you skipped the previous blog entry posts, I’m following along with Real Pythons “Build an LLM […]
LLM – Langchain Templates (Python)
I finished my previous blog post with the aim of looking at Langchain’s template options. I feel like I was on a similar path during my last post, with defining the initial prompt to be passed each time. However, the Langchain templates allow for easier and more thorough control. Langchain keeps the prompts and model […]
29Dec/24
Interacting with Ollama with Langchain (Python)
In my previous blog post I installed Ollama locally so that I could play around with Large Language Models (LLMs). I used Python with requests to do a test of the LLM, but also wrote that there are Ollama Python libraries available. In this blog post I’m taking a look at a Python LLM library […]