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Use case
High-volume student queries
Context

Physics Wallah developed 'Gyan Guru', a hyperpersonalized conversational study companion to address the unique academic and support needs of its 2 million daily users.

The system was implemented by indexing over one million Q&As and ten million solved doubts in a vector database, then leveraging a Retrieval-Augmented Generation (RAG) approach integrated with Azure OpenAI to deliver individualized, context-aware responses.

The integration streamlined things like

  • various student interactions including academic queries
  • product-related issues
  • general support

The main benefit achieved was reducing reliance on human subject matter experts.

Models/tools
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1
Use case
Ensuring AI compliance and trust
Context

SAIF CHECK, a company based in Riyadh, Saudi Arabia, uses Meta's Llama 3 to develop a model evaluation system that assesses AI models for compliance with legal, regulatory, privacy, and data security standards. Utilizing a Retrieval Augmented Generation (RAG) framework, the system scans and integrates global regulatory environments into a comprehensive knowledge base, enabling conversational and context-aware evaluations for both technical and non-technical users. This enhances trust in AI models, streamlines the auditing and certification process, and ensures businesses in the Middle East and North Africa can deploy AI solutions confidently and compliantly.

Models/tools
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2

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