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deepmind.google·6d ago
AI Engineering
Lobsters·Jul 5·5 min read
Knowledge Should Not Be Gated
TL;DR
For years, knowledge was locked behind complex systems like vector databases and SDKs, making it difficult to access. The realization emerged that large language models (LLMs) perform best with simple formats like markdown.
✦ Why It Matters
Engineers can simplify knowledge management by adopting markdown formats, improving accessibility and integration with AI systems.
Key Takeaways
- Adopt markdown for knowledge storage to enhance accessibility.
- Reduce reliance on complex querying systems.
- Utilize LLMs for better data interaction.
- Streamline knowledge management processes.
Full Summary
In the past, organizations often secured their knowledge within intricate infrastructures, utilizing tools such as vector databases and software development kits (SDKs) to manage data retrieval. This approach required extensive processes, including document chunking and embedding model selection, which ultimately obscured the knowledge from direct human consumption.
The breakthrough came with the recognition that large language models (LLMs) thrive on straightforward formats like markdown, leading to the adoption of Google's Open Knowledge Format as a standard. By simplifying the way knowledge is stored and accessed, organizations can now present information in a more readable manner.
This transition not only enhances accessibility but also streamlines the integration of AI systems with existing knowledge bases. As a result, companies can leverage their data more effectively without the overhead of complex querying systems.