Business Problem
Lokal is a regional news platform revolutionizing how Telugu-speaking audiences access news by providing concise summaries and engaging headlines in their native language. Leveraging advanced AI models and culturally nuanced prompt engineering, Lokal ensures accurate, reliable, and audience-focused content delivery.
Lokal was challenged to deliver concise and engaging news summaries and headlines in Telugu, a complex and richly nuanced language. The primary goals were:
- Making regional news accessible to a larger audience.
- Generating reliable, culturally relevant content.
- Reducing manual effort while ensuring quality.
Solution
Using Claude 3.5 Sonnet on Amazon Bedrock, Lokal deployed a three-stage approach to transform Telugu news delivery:
Prompt-Engineered Summaries: Crafted summaries adhering to journalistic standards, focusing on clarity, accuracy, and the 5Ws and H framework.
Automated Quality Checks: Ensured grammatical accuracy, cultural relevance, and impactful word choice, tailored for Telugu.
Headline Generation: Designed creative and attention-grabbing headlines using concise and culturally relevant formats.
Architecture
- User Input
News Article Input: Raw Telugu news articles are provided as input. - Summary Generation
Model Selection: Claude 3.5 Sonnet is used for its advanced language generation capabilities.
Prompt Engineering:
A summary generation prompt is used to extract the essence of the article.
The prompt ensures adherence to journalistic standards, accuracy, and concise outputs.
Output: An Intermediate Summary Output is generated in Telugu. - Headline Generation
Headline Prompt:
The Intermediate Summary Output is used as input for a headline-generation prompt.
The prompt creates concise, engaging, and culturally relevant headlines.
Output: An Intermediate Headline Output is created. - Validation Process
Validation Prompt:
A validation prompt reviews the Intermediate Headline and Summary Outputs.
Checks for grammar, spelling, cultural relevance, and adherence to format.
Model Used: Claude 3.5 Sonnet performs quality control. - Final Output
Final News Summary and Headline:
Outputs are finalized after validation.
These include a concise, impactful headline and an accurate summary.