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What is Fastino?
Fastino is an AI research lab dedicated to developing highly efficient, small language models tailored for specific enterprise tasks. Their models are engineered to deliver superior accuracy and speed, capable of operating effectively even on standard CPU environments. Fastino provides solutions for common business requirements, including robust data structuring, intelligent function calling, and the precise redaction of Personally Identifiable Information (PII) from unstructured text.
The company strongly emphasizes a developer-first approach by offering sophisticated tools such as the Fastino Model Tooling (FMT). FMT empowers enterprises to fine-tune language models for custom applications and deploy them securely within their own Virtual Private Cloud (VPC). Furthermore, Fastino's Zero-Shot Model API allows for the immediate integration of powerful language understanding capabilities into existing workflows without the need for prior model training, thereby enhancing efficiency and security for enterprise-grade AI operations.
Features
- Small Language Models: Optimized for specific tasks, offering high accuracy and speed.
- Zero-Shot Model API: Enables Named Entity Recognition (NER), PII detection, and Function Calling without prior training.
- Fastino PII: A high-performance model for redacting PII from unstructured text, outperforming larger LLMs.
- Fastino Model Tooling (FMT): A suite for enterprises to fine-tune language models for custom, agentic, and high-performance tasks.
- VPC Deployment: Allows deployment and fine-tuning of language models on Virtual Private Cloud.
- CPU Optimized: Lightweight architecture designed for efficient processing on CPUs, reducing compute requirements.
- Developer-First Tools: Intuitive tools for fine-tuning, validation, and deployment.
Use Cases
- Automated PII Redaction: Securely remove sensitive information like names, phone numbers, and addresses from text.
- Efficient Data Structuring: Convert unstructured text into structured data for analysis and processing.
- Advanced Function Calling: Integrate language models to trigger specific actions or functions within applications.
- Enterprise-Grade AI Workflows: Build and deploy reliable AI solutions for various business processes.
- Custom Model Fine-Tuning: Tailor language models to specific industry or company needs for enhanced performance.
- Rapid AI Integration: Quickly incorporate language understanding into applications using the zero-shot API.
- Question Answering (RAG): Implement systems that answer questions based on provided documents.
- Text Summarization: Generate concise summaries of long texts or documents.
FAQs
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What kind of tasks are Fastino's language models designed for?
Fastino's models are designed for common enterprise tasks such as Named Entity Recognition (NER), Personally Identifiable Information (PII) detection, Function Calling, question answering (RAG), textual data structuring, and text/document summarization. -
Can Fastino models be deployed on-premise or in a private cloud?
Yes, Fastino offers Fastino Model Tooling (FMT) which allows enterprises to deploy and fine-tune language models on their Virtual Private Cloud (VPC). -
Do I need to train Fastino models before using them for tasks like PII detection?
No, Fastino offers a Zero-Shot Model API for tasks like NER, PII detection, and Function Calling, which means they can be used instantly without requiring any prior training. -
What makes Fastino different from larger language models?
Fastino focuses on small, task-optimized language models that are designed for high accuracy, speed, lower compute requirements (can run on CPUs), and enterprise flexibility, including fine-tuning and predictable costs. -
Who is behind Fastino?
Fastino was co-founded by Ash Lewis and George Hurn-Maloney, and its team includes AI researchers and developers from institutions like Stanford, Oxford, Berkeley, Microsoft, and Google. It is backed by investors like M12 (Microsoft’s Venture Fund) and Insight Partners.
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