Nowadays, chatbots are everywhere. A quick online search will yield countless results. But here's the catch: many businesses dive in without thoroughly evaluating their options, often leading to less than ideal outcomes. Chatbots can be implemented in several types, each with unique functionalities tailored to different business needs. By understanding these differences, businesses can make smarter choices and create better user experiences. Next, I'll break down the different categories of chatbots and highlight the key features of each to help you choose the right one.
Large Language Models (LLMs) as we have known, are sophisticated AI models that can comprehend and generate human-like text. Trained on massive datasets, they have a deep understanding of language nuances and patterns. We can think of them as the next evolution of business intelligence tools, capable of processing and analyzing vast amounts of textual data quickly and with high level of accuracy. The training of LLMs, that is highly expensive for the moment, can generally be divided into two phases: Unsupervised Learning: The LLM is exposed to diverse text sources, allowing it to learn grammar, syntax, and even common sense reasoning. Fine-Tuning: We then tailor the model for specific business applications, whether that's summarizing complex reports, generating customer-facing content, or extracting insights from unstructured data. While LLMs excel at processing text, their capabilities extend far beyond that. We are seeing them applied in diverse fields like computer science, his...