The tech industry has driven incredibly rapid innovation by taking advantage of increasingly cheap and more powerful computing – but at what unintended cost? What collateral damage has been created in our era of "move fast and break things"? Sadly, it's now becoming apparent we have overlooked the broader impacts of our technological solutions. This blog is the start of a new series that explores what we can do as technologists to consider and reduce the impact of the tech we create.| Scott Logic
Generative AI is moving at an incredible pace, bringing with it a whole new raft of terminology. With articles packed full of terms like prompt injection, embeddings and funky acronyms like LoRA, it can be a little hard to keep pace. For a while now I've been keeping a notebook where I record brief definitions of these new terms as I encounter them. I find it such a useful reference, I thought I'd share it in this blog post.| Scott Logic
The buzz and excitement around generative AI is continuing to grow as their capabilities rapidly expand. However, their ability to generate content is just the starting point. From my perspective, the emergent reasoning capability, coupled with their intelligent use of tools, is what will make this technology truly transformational, and will mark the start of a new technology epoch.| Scott Logic
In this blog, I describe creating InferGPT, a personalized chatbot, using Python, FastAPI, and React without the use of LangChain. Our backend handles complex queries with a multi-agent system and Neo4j database, aiming to provide tailored responses.| Scott Logic
