Autoregressive models for text generation often produce repetitive and low-quality output due to errors accumulating during generation. Exposure bias, the difference between training and inference, is blamed for this. Denoising diffusion models offer an alternative by allowing a model to revise its output, but they are computationally expensive and less fluent for longer text.
Introducing PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
Are you looking to evolve your company with AI and stay competitive? Look no further than PLANNER, our AI solution that can redefine your way of work. With PLANNER, you can generate diversified paragraphs using a latent language diffusion model.
Why PLANNER?
Traditional autoregressive models for text generation often produce repetitive and low-quality output due to error accumulation. This is known as exposure bias. Denoising diffusion models, on the other hand, allow the model to revisit and revise its output, resulting in improved quality.
While previous efforts on text generation have led to less fluent output compared to autoregressive models, especially for longer text and paragraphs, PLANNER overcomes these limitations.
Practical Solutions and Value
With PLANNER, you can:
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
By following these steps, you can effectively integrate AI into your company’s processes and achieve tangible results.
Connect with Us
For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com. You can also stay tuned for updates on our Telegram channel t.me/itinainews or follow us on Twitter @itinaicom.
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