As the excitement around LLMs like GPT-4 and frameworks like LangChain grows, many are scrambling to make these tools truly useful in real-world settings. The challenges are real—hallucinations, high costs, and latency make productionizing AI assistants a daunting task.
Hear from our experts, who have decades of experience in the field, to explore how integrating structured business logic can reduce AI costs by up to 78% while improving reliability and performance. Learn how to transform LLM-powered assistants into robust, reliable, and cost-effective solutions for your business.
What You’ll Learn:
- How to overcome common LLM challenges, including hallucinations and latency.
- The benefits of using structured business logic to enhance LLM performance.
- In-depth comparisons of different approaches, highlighting how CALM significantly outperforms LangChain in cost and speed.
- Practical steps to build and deploy AI assistants that deliver consistent, high-quality results.
