LLM

There has always been one challenge with the results from generative AI search: getting accurate results from search queries. However, since the beginning, engineers have been constantly working on improving the accuracy of the search results that AI generates, and all these efforts have led to what we have today as grounding in AI. The […]

As a professional in your field, you have just adopted and implemented a new functional hiring system that integrates an LLM which uses a speech-to-text model to record and document interviews with potential hires. You are happy with how much easier it has become to hire and even onboard new hires. However, just like you […]

Artificial intelligence (AI) is a fully or semi-autonomous system. To achieve this autonomy, AI systems must be able to reason, predict, and generate human-like responses in a comprehensible language. This need brought about the development of language models. Initially, the AI systems did not need to work on large parameters; as such, small language AI […]

As a startup company when you build an AI app, the app first does well with a few users. It is completely manageable at this point. Customers send emails and chat, there is a small team that responds within working hours, customers are happy, the team is happy and overall everything is going great. However, […]

Language models are important in the driving of the development of Natural Language Processing (NLP). In recent years, there has been significant growth in NLP. These language models enhance the way we interact with Artificial Intelligence (AI), therefore, allowing us to use AI for tasks that require language translations such as text summarization and in […]