Large language model (LLM)
A large language model (LLM) is an AI model trained on huge amounts of text to understand and generate language. It powers tasks like summarizing, classifying, extracting, drafting, and answering questions.
LLMs work by predicting likely text given the input they are shown. Trained at scale, that simple objective produces models that can follow instructions, reason through problems, and produce fluent, relevant output across a wide range of tasks.
An LLM on its own is knowledge frozen at its training cutoff and cannot take actions. To be useful in automation, it is paired with current data (through retrieval) and the ability to act (through tools), which is what turns a model into an agent.
Spojit is model-flexible: workflows and agents can use leading LLMs, grounded on your data and connected to your tools, so the model works on real, current information.
See it in a real workflow
Spojit puts these ideas to work: describe what you want and Miraxa builds the workflow. Start free, no credit card required.