There’s no denying that Generative AI (GenAI) models, with their probability-based outcomes, are revolutionizing insurance underwriting. But how can underwriters confidently rely on these predictions? Data Quality and Model Training High-quality data is crucial for accurate AI predictions. Properly trained models on relevant datasets provide precise risk assessments, helping underwriters make informed decisions. Validation Metrics […]
There is no denial that the Crowdstrike outage caused significant impacts, including some very critical and unacceptable losses. These should have been prevented. It made everyone in IT think about how such an issue could have slipped through every stage before hitting production. Couldn’t they have used various proven product deployment techniques? I’ll leave that […]
Ever wondered why large language models like GPT-3 and GPT-4 are so focused on predicting the next word in a sentence? It might seem a bit odd, but there’s a brilliant reason behind it. Let’s dive into why these models operate this way and why it’s actually pretty smart. The Sequential Magic Language is all […]
Retrieval-Augmented Generation (RAG) applications have taken the NLP world by storm. They seem to empower chatbots and virtual assistants with an uncanny ability to understand complex questions and deliver insightful answers. But before we get carried away, let’s delve into the true potential of RAGs and expose a hidden truth: RAG applications are currently holding […]
Hold onto your hats, data lovers! Because here’s the thing: the better the data, the stronger the AI, right? We’re talking top-secret personal info, business goldmines – anything that’s valuable and true gets the most guard dogs. See, the more valuable and accurate the data, the tighter we clamp down to keep it safe, whether […]
If you closely observe how LLMs are evolving, you’ll gain immense respect for yourself. Yes, I’m talking about YOU – the human. The latest generation models can handle up to 128k tokens in a single prompt. This number might seem overwhelming, but the ability to process more tokens increases the machine’s probability of understanding context. […]
This might sound odd, but actually, that’s what we needed. After all, humankind is biased, isn’t it? We all take stands and be on a side. Machines are expected to be like that too. Now, the challenge is that the machine may be expected to represent both sides—that’s the curse for the machine. Unfortunately, humankind […]
Do you often hear that the lack of data, or the absence of quality data, is an excuse not to implement AI? Quite a lame excuse, isn’t it? In today’s business landscape, implementing AI solutions isn’t just an option; it’s a necessity. If you’ve been lagging in data recording, it’s not too late to embark […]
After the emergence of general AI (Gen AI), everyone is scrambling to fit it to the right business problems. However, most are still stuck with glorified chatbots, while some claim expertise in merely chaining prompts. In this rapid race of AI advancement, we shouldn’t be searching for AI’s use cases to fit in. Instead, we […]
Yes, you read that correctly. The essence of what AI does involves discrimination. In today’s IT industry, anyone not discussing AI is treated as if they do not exist within the sector. Consequently, everyone talks about it, but not everyone fully comprehends it. Although AI has existed in various forms for decades, Large Language Models […]