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What should you expect from AI in the near term?

What should you expect from AI in the near term?

Many people I speak to either underestimate AI by highlighting all the limitations the technology has right now, or overestimate it by…
Go to the profile of Nick Sorros
Nick Sorros
The year of agents

The year of agents

Last year was widely anticipated to be the year of AI, and it indeed turned out to be the year of reasoning AI. I believe this year will be…
Go to the profile of Nick Sorros
Nick Sorros
Digitizing Unstructured Accounting Data with LLMs

Digitizing Unstructured Accounting Data with LLMs

Dealing with unstructured accounting data can be a nightmare, especially when it comes in the form of messy PDF files. While this issue is…
Go to the profile of Angelo
Angelo
Training, Fine-tuning, Augmenting Large Language Models: a Guide for Executives

Training, Fine-tuning, Augmenting Large Language Models: a Guide for Executives

A Large Language Model (LLM) is an AI model that can understand and generate human language by learning patterns in vast amounts of data in…
Go to the profile of Christos Christodoulou
Christos Christodoulou
Why AI projects go wrong, and what we can do about it

Why AI projects go wrong, and what we can do about it

Sometimes AI projects don’t work out the way we’d like. Here’s our thoughts on why.
Go to the profile of Matthew Upson
Matthew Upson
Our guide to the words and abbreviations of generative AI

Our guide to the words and abbreviations of generative AI

Over the last couple of years, you, like us, will have heard about ChatGPT as often as almost anything else — it has been prominent in the…
Go to the profile of Nick Sorros
Nick Sorros
How we are thinking about Generative AI: Costs and Abilities

How we are thinking about Generative AI: Costs and Abilities

We’ve written a couple of previous blogs giving our perspectives on generative AI (part 1 and part 2), but given how quickly things are…
Go to the profile of Nick Sorros
Nick Sorros
Embeddings Merge 101: A Practical Guide to Merging Embeddings

Embeddings Merge 101: A Practical Guide to Merging Embeddings

Have you identified several fill-mask (aka language models aka embedding models) which complement each other, and you want to use all of…
Go to the profile of Juan Martinez
Juan Martinez
Generative AI for healthcare

Generative AI for healthcare

Generative AI has the potential to transform the healthcare industry, improving patient experiences while taking the strain off the…
Go to the profile of Nick Sorros
Nick Sorros
Fine-tuning Large Language Models on a budget with DEITA

Fine-tuning Large Language Models on a budget with DEITA

Using DEITA to fine tune your own LLM with limited budget. This blog post first goes through the main concepts for a non technical audience…
Go to the profile of Arnault
Arnault
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