
LLM Efficiency Gains with Embabel 1.0
Embabel 1.0's innovative approach to LLM efficiency has significant implications for natural language processing and machine learning.
![[Simple SNS Project] Step 3. Building the Follow System & Timeline (N:M Relationship)](/_next/image?url=https%3A%2F%2Fres.cloudinary.com%2Fds3fvsnxb%2Fimage%2Fupload%2Fc_limit%2Cf_auto%2Cq_auto%3Abest%2Cw_800%2Cdpr_auto%2Cfl_progressive%2Cfl_strip_profile%2Fv1768031060%2Fblogwiz%2Farticles%2Fhmi84g9xzwnymck2oudx.jpg&w=3840&q=75)
In this step, I transformed the application into a real social network by implementing the Follow System, addressing the challenge of modeling relationships between users and efficiently retrieving timelines.
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In Step 3 of building a social network application, the author implemented a Follow System, addressing the challenge of modeling relationships between users and efficiently retrieving timelines. They used a Many-to-Many relationship mapping table called Follows in a Relational Database and adopted the Pull Model strategy for querying the database.
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Embabel 1.0's innovative approach to LLM efficiency has significant implications for natural language processing and machine learning.

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