The right LLM can unlock the full potential of AI for your project.
But with so many options, where do you begin?
Here are the 4 key factors to consider:
• Quality: Look for an LLM that consistently performs well across various tasks. This could involve metrics like chatbot interactions, understanding complex language, and machine translation.
• Prize: Consider the price per token, considering both input and output costs.
• Throughput measures how many tokens (think words or code snippets) the LLM can generate per second.
• Open Source models allow for private use and customization on your own hardware.
In this example, we used the Quality vs. Throughput and Price Diagram from https://artificialanalysis.ai/models
Femke walks you through the best options below!
Weaviate Modules: https://weaviate.io/developers/weaviate/configuration/modules
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT WITH US ▬▬▬▬▬▬▬▬▬▬▬▬
Visit weaviate.io
Star us on GitHub https://github.com/weaviate/weaviate
Stay updated and subscribe to our newsletter: https://newsletter.weaviate.io/
Try out Weaviate Cloud Services for free here: https://console.weaviate.cloud/
Got a questions?
Forum: https://forum.weaviate.io/
Slack: https://weaviate.io/slack
Connect with us on
Twitter: https://twitter.com/weaviate_io
LinkedIn: https://www.linkedin.com/company/weaviate-io/
source
