Matthew UpsoninMantisNLPWhy 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.Sep 25Sep 25
Matthew UpsoninMantisNLPHow we’re thinking about Generative AI: Proprietary vs Open SourceOur thoughts on when to use Proprietary over Open Source modelsJan 26Jan 26
Matthew UpsoninMantisNLPWhat 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?Jan 19Jan 19
Matthew UpsoninMantisNLPAI for grant funding NGOs: Three ways Artificial Intelligence can help measure impactTracking impact is hard. AI can help.Nov 15, 2023Nov 15, 2023
Matthew UpsoninMantisNLPHow 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…Oct 25, 2023Oct 25, 2023
Matthew UpsoninMantisNLPHow not to get left behind by AItips for getting started with a Pilot ProjectSep 20, 2023Sep 20, 2023
Matthew UpsoninMantisNLPDeploy a cutting edge machine learning model with one line of codeDeploying transfomers used to be hard. Now it’s trivial.Apr 26, 2023Apr 26, 2023
Matthew UpsoninMantisNLPChatGPT 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.Mar 15, 20231Mar 15, 20231
Matthew UpsoninMantisNLPWhy 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.Feb 15, 20232Feb 15, 20232
