[Webinar] Reduce your OpenAI spend by 90% with SLMs

W EBLNAR REDUCE YOUR & 0OpenAI SPEND BY UP TO 909%bo with small language models and open-source R X C Devvret Rishi Abhay Malik Michael Ortega CEO & Cofounder Product Lead Marketing Lead July 30th at 10:00am PT Most companies building with GenAI start with commercial LLMs like GPT-4, but quickly rack up massive bills when they move their models from prototype to production. The result: fewer use cases deployed and fewer users engaged. Good news: it's possible to reduce your OpenAI spend by upwards of 90% with small language models and the latest open-source techniques like multi-LoRA serving—and still deliver GPT-4 level quality. Join this webinar to learn: * How to model OpenAI spend as you scale traffic and use cases * How to compare commercial and open-source alternatives * 3 open-source tools and techniques to lower your OpenAI bill: * Fine-tune small LLMs that beat GPT-4 for only $8 * Reduce inference costs with multi-LoRA serving * Increase token throughput with speculative decoding * Real-world enterprise use cases and savings * Live demo: fine-tuning llama-3-8b for customer support automation Register Now logo-predibase-light 151 Calle de San Francisco, Suite 200 - PMB 5072, San Juan, PR 00901