Uploaded June 2024 | Updated September 2026, 9 hours ago
Long-context language models enable you to include task examples in the prompt to improve output performance. This is an alternative to fine-tuning!
While fine-tuning is great, it can be expensive, time-consuming, and inflexible. Here's why prompt-tuning might be a better fit:
- Cheaper: No need for expensive training!
- Faster Results: Get up and running in minutes, not hours
- More Control: Refine your prompt for even better results
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Long-context language models enable you to include task examples in the prompt to improve output performance. This is an alternative to fine-tuning!
While fine-tuning is great, it can be expensive, time-consuming, and inflexible. Here's why prompt-tuning might be a better fit:
- Cheaper: No need for expensive training!
- Faster Results: Get up and running in minutes, not hours
- More Control: Refine your prompt for even better results
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT WITH US ▬▬▬▬▬▬▬▬▬▬▬▬
Visit weaviate.io
Star us on GitHub github.com/weaviate/weaviate
Stay updated and subscribe to our newsletter: newsletter.weaviate.io
Try out Weaviate Cloud Services for free here: https://console.weaviate.cloud/
Got a questions?
Forum: forum.weaviate.io
Slack: weaviate.io/slack
Connect with us on
Twitter: twitter.com/weaviate_io
LinkedIn: linkedin.com/company/weaviate-io










