💡Webinar: To train or not to train your 🅻🅻🅼

While GPT-style models perform admirably initially, developing practical solutions in real-world scenarios remains complex. Is prompt engineering alone sufficient to achieve the desired accuracy? Are you open to sharing your data with a major vendor? Under what circumstances does training your own LLM lead to more stable outputs? Join us on July 11th at 2:00 PM ET  for a live webinar where we'll showcase when to train and when to use an LLM out-of-the-box.