End to End Technology Solutions
Over the past year, our team has witnessed a seismic shift in how we approach AI application development. One of the most exciting innovations we’ve embraced is BAML—a domain-specific language designed specifically for structured prompt engineering. In our journey, BAML has not only simplified our workflow but has also revolutionized the way we create Continue Reading »
Let’s be honest—AI models are smart, but they can also be wildly overconfident. Ever had ChatGPT confidently tell you that tomatoes are vegetables, only to backtrack when you call it out? Yeah, that’s it. Large Language Models (LLMs) create responses based on the material they were trained on, but they are not well-versed (“know”) with Continue Reading »
In today’s fast-changing era of Artificial Intelligence (AI), the need for solutions that facilitate end-to-end integration of language models and real-world applications is higher than ever before. Welcome LangChain, a powerful platform built with the aim of optimizing the use of Large Language Models (LLMs). By offering an architecture to build intelligent and adaptive Continue Reading »
Supervised Fine Tuning (SFT) – Improving Models for Particular Scenarios The painstaking process that is the evolution of Artificial Intelligence (AI) has yielded exceptionally complex models capable of a variety of tasks, each performed with astounding efficiency. Unfortunately, these models often lack one crucial element: versatility. This is where Supervised Fine Tuning (SFT) proves to Continue Reading »
For years, Large Language Models (LLMs) have impressed us with their ability to generate human-like responses, but they’ve always had a major limitation—they react rather than act. They answer questions but don’t take the initiative, they don’t plan ahead, and they certainly don’t adapt to new information on their own. This is where the Continue Reading »