Use case
Text generation
Produce human-like, contextually accurate content for summarization, translation, and other multimodal applications.
Why Labelbox for text generation
Increase data quality
Generate high-quality text generation training data by combining advanced tooling, humans, AI and on-demand services in a unified solution.
Accelerate time to value
Rapidly integrate data, create quality training data, and deploy models to production with text generation.
Access on-demand text generation expertise
Embrace on-demand, highly-skilled labeling services and industry-specific insights that help execute text generation tasks at scale.
Collaborate in real-time
Enjoy direct access to internal and external labelers with real-time feedback on text generation tasks via the Labelbox platform.
Understanding text generation
Text generation allows GenAI models to produce outputs that sound natural, fit within the given context, and are grammatically correct. For translation or multilingual models, text generation is pivotal to help GenAI models understand the full context of a prompt.
Challenges in text generation tasks
Training AI models on text generation requires a large, nuanced dataset that encompasses natural, human-like language. Without the right tools and expertise, the model might have difficulty maintaining contextual accuracy and coherency across long forms of content.
Text generation with Labelbox
Labelbox's flexibility and powerful annotation tools, and global network of annotators, allow you to create tailored datasets for multimodal models that truly understand and respond to the needs of users.
Customer spotlight
Labelbox's intuitive tooling coupled with post-training labeling services offered a collaborative environment where Speak's internal team, along with external data annotators, could work together seamlessly. Learn more about how Speak uses Labelbox to improving the quality and efficiency of their data labeling.
