Frequently Asked Questions
What are the models behind the BirdAI solution?
These are advanced large language models (LLMs) that serve as the foundation of the platform. They’ve been trained on huge volumes of text and refined to understand your brand’s voice, your industry context, and your desired outcomes. The system allows fine-tuning, prompt engineering, and even retrieval-augmented generation (RAG) so the AI doesn’t just generate generic text: it delivers responses aligned with your specific brand and business needs.
These are advanced large language models (LLMs) that serve as the foundation of the platform. They’ve been trained on huge volumes of text and refined to understand your brand’s voice, your industry context, and your desired outcomes. The system allows fine-tuning, prompt engineering, and even retrieval-augmented generation (RAG) so the AI doesn’t just generate generic text: it delivers responses aligned with your specific brand and business needs.
How does the AI learn to speak like our brand?
The process involves training the BirdAI model with your brand’s unique context such as your business information, product or service descriptions, location data, tone and style guidelines. Then through techniques like fine-tuning and prompt design, the model is configured to reflect your personality, style and tone of voice. In short: your brand’s language becomes part of the intelligence behind the AI’s output.
The process involves training the BirdAI model with your brand’s unique context such as your business information, product or service descriptions, location data, tone and style guidelines. Then through techniques like fine-tuning and prompt design, the model is configured to reflect your personality, style and tone of voice. In short: your brand’s language becomes part of the intelligence behind the AI’s output.
Can Birdeye’s custom LLM handle industry-specific or regulated language?
Yes. Because the system is engineered to be tuned for your market, it uses industry intelligence and compliance frameworks to ensure BirdAI speaks in the right language and stays within required guardrails. Whether you need output that respects HIPAA, FINRA, or other regulations, BirdAI is designed to deliver relevant and compliant communications for your sector.
Yes. Because the system is engineered to be tuned for your market, it uses industry intelligence and compliance frameworks to ensure BirdAI speaks in the right language and stays within required guardrails. Whether you need output that respects HIPAA, FINRA, or other regulations, BirdAI is designed to deliver relevant and compliant communications for your sector.
What control do we have over BirdAI’s output?
You retain substantial control. You set the guardrails, define your do’s and don’ts (words, tone, style, compliance constraints) and choose whether human review is part of the workflow. Our AI works within those boundaries, letting you maintain brand consistency and compliance while benefiting from automating scale and speed.
You retain substantial control. You set the guardrails, define your do’s and don’ts (words, tone, style, compliance constraints) and choose whether human review is part of the workflow. Our AI works within those boundaries, letting you maintain brand consistency and compliance while benefiting from automating scale and speed.
How do we choose the right model for our business?
It’s a balancing act: you consider model size, cost, response latency, and the complexity of the tasks you need BirdAI to perform. For simpler or faster-turnaround tasks, a smaller model may suffice and cost less. For more nuanced, complex, or high-stakes tasks, a larger model with more capacity might be appropriate. We help align this with your data, your use case, and your outcomes so you get the best fit for your business.
It’s a balancing act: you consider model size, cost, response latency, and the complexity of the tasks you need BirdAI to perform. For simpler or faster-turnaround tasks, a smaller model may suffice and cost less. For more nuanced, complex, or high-stakes tasks, a larger model with more capacity might be appropriate. We help align this with your data, your use case, and your outcomes so you get the best fit for your business.