InMantisNLPbyMatthew Upson·Sep 25, 2024Why AI projects go wrong, and what we can do about itSometimes AI projects don’t work out the way we’d like. Here’s our thoughts on why.
InMantisNLPbyMatthew Upson·Jan 26, 2024How we’re thinking about Generative AI: Proprietary vs Open SourceOur thoughts on when to use Proprietary over Open Source models
InMantisNLPbyMatthew Upson·Jan 19, 2024What role can Generative Artificial Intelligence play for not for profits?Generative AI is all the rage. How can Not For Profits make use of these new capabilities?
InMantisNLPbyMatthew Upson·Nov 15, 2023AI for grant funding NGOs: Three ways Artificial Intelligence can help measure impactTracking impact is hard. AI can help.
InMantisNLPbyMatthew Upson·Oct 25, 2023How we think about Generative AIIt’s no exaggeration to say that the world has changed in the last year thanks to the developments in Generative Artificial Intelligence…
InMantisNLPbyMatthew Upson·Sep 20, 2023How not to get left behind by AItips for getting started with a Pilot Project
InMantisNLPbyMatthew Upson·Apr 26, 2023Deploy a cutting edge machine learning model with one line of codeDeploying transfomers used to be hard. Now it’s trivial.
InMantisNLPbyMatthew Upson·Mar 15, 2023ChatGPT for GOV.UKWe’ve built an application based on ChatGPT for querying GOV.UK, but more up-to-date and with fewer errors, and it works rather well.A response icon1A response icon1
InMantisNLPbyMatthew Upson·Feb 15, 2023Why we’re switching to Hugging Face Inference Endpoints, and maybe you should tooHugging Face recently launched Inference Endpoints. In this blog post we look at some of the pros and cons, and why we’re using them.A response icon2A response icon2
