Agathon: Sitemap
Should I build my own large language model (LLM)?
Organizations considering building their own large language models (LLMs) should weigh the benefits of control and specialisation against challenges like high computational needs and expertise requirements.
What does a fractional CTO do?
A fractional AI CTO provides strategic guidance and technical leadership to help organizations assess, plan, and responsibly implement AI solutions.
Who are the best AI consulting firms in 2024?
When selecting an AI consulting partner, the right fit will depend on your organisation's unique needs, budget, and desire for a hands-on collaborative engagement.
Can you reason with LLMs?
Research from Apple reveals that large language models struggle with genuine mathematical reasoning and perform inconsistently on complex math problems
Understanding large language models: a group discussion analogy
By visualising the transformer as a dynamic conversation between human participants, we can grasp the core principles behind this influential neural network architecture.
What is multi-modal AI?
Promising the ability to interact with large language models in a range of ways — what exactly is multi-modal AI?
Conducting a data assessment
We outline our process for and benefits of conducting a data assessment prior to initiating any project.
Delivery excellence through multi-disciplinarity and diverse teams
Unlocking the potential of AI through diverse teams: why it is crucial to employ a multidisciplinary team
Quantifying the benefits and risks of an AI deployment
How we at Agathon quantify the benefits and risks of any project we embark upon
Adversarial models: what are they and when should you use them?
A brief explanation of adversarial models and some potential use cases for them
Responsible and ethical AI — why does it matter?
Responsible AI is all the rage, but why should one care?
ChatGPT’s impact on the enterprise
Potential impacts and use cases for ChatGPT on the enterprise
Recent trends in NLP
Examining some recent trends in NLP and AI, including transformer-based models, transfer learning, multimodal AI and conversational AI