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Industrial AI Podcast
RAG in an industrial setting
Mar 13, 2024
The podcast discusses RAG in industrial AI, prioritizing data quality over specific AI models. It explores the benefits of RAC technology, industrial foundation models, evolution of RAC tooling, building Rackbase assistance, Sora and AI in engineering, and transformers in high-frequency time series data in industrial contexts.
55:17
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Quick takeaways
- Rach improves chatbots for industrial AI by directly applying technology to specific data, reducing errors and enhancing responses.
- Rach uses internal knowledge bases and embeddings to improve information retrieval, making search results more relevant and enhancing the summarization process.
Deep dives
Rach - Revolutionizing Industrial AI with Retrieval-Augmented Generation
Rach, an acronym for retrieval-augmented generation, offers significant benefits in industrial AI applications. Traditional chatbots face limitations in using large language models directly on data, requiring expensive fine-tuning. However, with Rach, technology can be directly applied to specific data, overcoming these limitations. Rach enables the creation of chatbots running on proprietary data and reduces hallucination errors common in large language models, making it a powerful tool for industrial settings.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode