Fastino provides high-performance, task-specific language models designed for enterprise AI applications. Unlike generic LLMs, Fastino's models are engineered for accuracy, speed, and security, offering near-instant CPU inference and flexible deployment across various environments.
Key Features:
- Task-Optimized Models: Specialized language models tailored for specific tasks, ensuring high accuracy and efficiency.
- CPU Inference: Designed for near-instant inference on CPUs, reducing reliance on expensive GPU resources.
- Flexible Deployment: Supports deployment across various environments, including on-premise and virtual private clouds (VPCs).
- Fastino Model Tooling (FMT): A suite of tools for fine-tuning language models for custom, agentic, and high-performance tasks.
- Zero-Shot Model API: Enables Named Entity Recognition (NER), Personally Identifiable Information (PII) detection, and Function Calling without requiring prior training.
Use Cases:
- Data Structuring: Efficiently structure textual data for analysis and processing.
- PII Redaction: Accurately identify and redact personally identifiable information from unstructured text.
- Function Calling: Integrate language understanding into applications instantly with high accuracy and security.
- Enterprise Deployment: Deploy and fine-tune language models on VPC with Fastino Model Tooling (FMT) for enterprise and agentic tasks.
