FAQ from Shard AI
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Which language models does Shard AI support—and how often are new ones added?
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Can I fine-tune or customize models through Shard AI's API?
FAQ from Shard AI
What is Shard AI?
Shard AI redefines developer-first AI infrastructure—not as another model wrapper, but as an intelligent abstraction layer that unifies access, observability, and optimization across the evolving LLM landscape.
How to use Shard AI?
Replace fragmented integrations with one clean interface: authenticate once, specify your intent (e.g., “summarize,” “reason,” “generate”), and let Shard AI handle routing, fallbacks, and retries—so you ship faster, not harder.
Which language models does Shard AI support—and how often are new ones added?
We integrate top-tier proprietary and open models—including OpenAI, Anthropic, Google, Meta, and Mistral—with new additions released biweekly based on developer demand and benchmark rigor.
Can I fine-tune or customize models through Shard AI’s API?
While Shard AI focuses on standardized inference, we offer seamless handoff to fine-tuning environments (via model-specific export paths) and support custom prompt orchestration, guardrails, and response post-processing—all within the same API contract.