Beyond the Hype: Transforming LLMs into Cost-Effective, Reliable AI Assistants
Rasa Webinar Replay
Beyond the Hype: Transforming LLMs into Cost-Effective, Reliable AI Assistants
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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.
Hear from the Experts:
Hugo Bowne-Anderson
Independent Data & AI Scientist
Alan Nichol
Co-founder & CTO
Rasa
Daksh Varshneya
Sr. Product Manager
Rasa