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.

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Automated Quality Checks: Ensured grammatical accuracy, cultural relevance, and impactful word choice, tailored for Telugu.

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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.