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Posted: 2025-04-26 04:44:21 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-04-26 04:44:43 UTC
Verified By
Rollup News
OpenLedger outlines three AI model paths: Specialized Language Models (SLMs), Fine-Tuned LLMs, and Base LLMs, each suited for different use cases based on factors like efficiency, domain specificity, and versatility.
SLMs are lightweight and efficient, ideal for specific tasks and on-chain deployment.
Fine-Tuned LLMs offer broad reasoning with added customization for projects needing deep language understanding.
Base LLMs are versatile but resource-heavy, suitable for experimental or broad-use AI services.
Verifying and optimizing resource-heavy Base LLMs for specific tasks.
Balancing the compute intensity of Fine-Tuned LLMs with the need for customization.