Large Language Models (LLMs) are advanced AI systems trained to predict and generate human-like text based on vast amounts of data. Built using transformer architectures, they leverage self-attention mechanisms to handle long-range context and complex language patterns effectively. LLMs scale with billions of parameters, allowing them to perform diverse tasks like text generation, summarization, translation, and code generation. Their capabilities emerge from extensive training on large datasets combined with high computational power. LLMs are versitile, although the output is probabilistic rather than deterministic, responses should be evaluated to ensure accuracy and reliability.

Planhat vs bring your own

LLMs can be used in Planhat's Automations, to analyze and predict data. Planhat provides managed LLMs, which allows you to skip infrastructure setup and start generating outputs immediately with our out-of-the-box solution. We handle scalability, security, maintenance, and can provide logging and performance analytics. Choose between a range of models from providers like Google, OpenAI, and Anthropic, with flexibility to select the most appropriate model for your task.

Alternatively, you can bring your own LLM from any provider, giving you full control over model selection, architecture, and fine-tuning. In this case, you're responsible for managing data residency, privacy, scaling, maintenance, and compute resources.