Should you choose GPT-3.5 or GPT-4?
We help you decide which model is more compatible with your company’s needs. We drill the comparison down to lightweight haste (GPT-3.5) versus slower, well-thought-out deliberation (GPT-4).
Digital dining with a chatbot: AI hits the hospitality industry
A robot in a waiter uniform whizzing to your table might not be the future of hospitality, but some well-placed digitisation is due. In this article, we bring you up to speed about how generative AI is levelling up the hospitality industry, focusing on restaurants.
Does your company need its own ChatGPT or fine-tuned LLM? Probably not
In this article we disambiguate why you probably don’t want your ‘own LLM’. If you want to know what we suggest instead, feel free to skip to our introduction to prompt architecting at the end!
Data privacy: are law firms safe in the hands of the ChatGPT API?
This article discusses the implications for Personal Identifiable Information (PII) and privileged information. Then, we cover how building a bespoke program, plugged into the API, can alleviate data privacy concerns.
The API Key rush: how generative AI is revolutionising enterprises
Last week, OpenAI turned the temperature up by more than a few degrees by releasing its API. Previously, the LLM was only accessible by directly using the chatbot interface. In this turn of events, the world will be using it in many of its favourite everyday apps and products, as third-party developers can now integrate […]
Jailbreaking, cyberattacks, and ethical red lines: ChatGPT’s risks, and how a human-in-the-loop helps
Below, we share our assessment of some anticipated risks of Large Language Models (LLMs) like ChatGPT: “jailbreaking” content filters, and weaponisation through copycat technology and cyberattacks. We explain why a human-in-the-loop (HITL) thus remains necessary.
