Style & Tone Rewriter
Dynamically shift the linguistic register of Sinhala news articles. Rewrite content instantly into one of five distinct newspaper styles, matching the target demographic without altering the underlying facts.
Registers
5
Distinct editorial tone styles
Latency
<800ms
Adapter switching overhead
Fact Fidelity
High
Preserves journalistic accuracy
Adapter Version
v07
Current production deployment
Supported Editorial Styles
Formal News
Standard broadcast and broadsheet tone. Objective, structured, and strictly adheres to formal journalistic syntax.
Sports Reporting
Dynamic and action-oriented vocabulary. Adapts verbs and pacing to match the excitement of live sports coverage.
Youth & Culture
Engaging, modern vernacular tailored for younger demographics and digital-first tabloid formats.
Editorial Opinion
Authoritative, persuasive, and reflective. Enhances sentences with richer adjectives to convey a strong viewpoint.
Feature Story
Narrative-driven and descriptive. Prioritizes storytelling flow and immersive language for long-form reading.
Zero-Degradation Hot Swapping
Unlike traditional monolithic deployments where every distinct task requires an entirely separate 8-billion-parameter model to be loaded into VRAM, SinAi utilizes a shared pre-merged foundational base (SinLLaMA-merged-base).
The Style Rewriter, alongside the grammar and summarization tools, is deployed as a highly optimized, lightweight Low-Rank Adaptation (LoRA) adapter. Our inference server (serve_sinai.py) dynamically swaps these adapters into the active context in milliseconds.
Efficiency Gain
This architecture allows a single GPU to serve all four major SinAi AI features concurrently without memory exhaustion, supporting rapid tone adjustments without user-facing loading delays.