Text Generation Inference
Text Generation Inference is the process in machine learning where a model, typically a neural network, generates coherent and contextually relevant text based on a given input. This is a common task in natural language processing (NLP).
How Text Generation Inference Works
A model trained on a large corpus of text learns the probabilities of word sequences. Given an initial input or prompt, the model uses these probabilities to generate subsequent words, aiming to form grammatically correct and contextually appropriate sentences. For example, language models like GPT-3 use text generation inference to create complete articles, stories, or conversational responses based on initial prompts.
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
untouchable mode.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.
