The year 2024 was an interesting one for Generative AI. It certainly wasn’t bigger than 2022 and 2023, when Generative AI went mainstream through the release of ChatGPT. On the other hand, it wasn’t a ‘nothing’ year as well. Sure, Generative AI is more widespread and prevalent than previous years. Helped through both Android and Apple deploying generative AI on mobile devices. But, as I look back, I feel it was a year of consolidation. Consolidation in the big players, consolidation and confidence in the technology, and consolidation in regulation. ...

I want to open this post by stating that privacy within large language models (LLMs) is a mammoth topic that spans much more than can be said in a single post. Instead, I want to narrow the focus of the post to showcase some approaches of introducing proprietary data into LLMs, with privacy and safety of sensitive data at the forefront. In a study done by the AI Accelerator Institute, data privacy was the second biggest barrier to adopting LLMs within their company ...

Today, I will take you through a simple next-word prediction model built using PyTorch. The inspiration for this, is of course predictive text - or more specifically Google’s Smart Compose. At its core, the Google Smart Compose model is a form of language model. Smart Compose uses a few words the user inputs and then predicts the following words or sentences in emails you want to write. Google details how they build their Smart Compose feature in their research blog post here. From this, I want to pull out some requirements for building a successful Smart Compose model: ...

There are many tutorials on getting started with Langchain and LLMs to create simple chat applications. I want to go slightly beyond this post and go into a bit of detail on the role of memory has in chat applications, and lastly touch on how you can scale your application across multiple sessions and multiple users. What is Langchain? Langchain is an open-source python package that helps in creating LLM solutions. It has four main modules: ...

In this post, we explore the cost of deploying or buying your generative AI. Specifically, I want to focus on the computing cost - not the additional costs which contribute to the total cost of ownership. In this, I want to explore three options, these are: Managed: Use OpenAI directly Self-managed: Deploy using AWS Self-managed: Deploy using Google Cloud This post is part of my wider LLM series. Handling multiple interactions with Langchain LLM Risks - Prompt Injection Or a full list of posts, available here. ...