Exploring Fireworks AI: Focusing on Open Source Models for Customizable, Scalable Production

As a pioneer in Open Source AI, I'm excited to share our journey at Fireworks, where we're revolutionizing the way AI models are produced and scaled for real-world applications.

  • 1. Dima, co-founder of Fireworks AI, is giving a presentation about their company and the use of open source models in production.
  • 2. The founding team of Fireworks AI has a combined decade of experience in productionizing AI at Meta and Google.
  • 3. Dima believes that open source models are the future for general applications.
  • 4. Currently, most production inference is still based on proprietary models, which are often one-size-fits-all solutions with high latency and cost.
  • 5. Open source models offer better customization and adaptability to specific domains and use cases.
  • 6. However, using open source models comes with challenges such as deploying and serving multiple model variants efficiently.
  • 7. Fireworks AI is working on solutions to these challenges, such as enabling thousands of model variants to be deployed on the same GPU for serverless inference.
  • 8. Dima sees a trend towards compound AI systems that combine models with external tools and knowledge bases to solve real-world applications.
  • 9. Fireworks AI is developing function calling agents as a core component of these emerging architectures, which can connect to domain specialized models served on their platform or external tools.
  • 10. The company offers a range of products from early prototyping to enterprise scale, with different pricing and hardware settings for each stage.
  • 11. Fireworks AI is already serving more than 150 billion tokens per day for various companies, ranging from small startups to large enterprises.
  • 12. Dima encourages the audience to try out Fireworks AI's open source models and platform, which are compatible with popular tools and frameworks such as Langchain, Llama Index, and others.

Source: AI Engineer via YouTube

❓ What do you think? What are your thoughts on the ideas shared in this video? Feel free to share your thoughts in the comments!