Introducing Fireworks AI's Cutting-Edge Embedding Models: Fireworks-Ai-Embedding-150M-To-350M
Fireworks AI has recently unveiled its latest advancements in embedding models with the release of Fireworks-Ai-Embedding-150M-To-350M. These models are designed to deliver exceptional performance and low latency, making them ideal for a wide range of applications in generative AI.
Performance and Latency
Fireworks AI is renowned for its ability to provide lightning-fast and low-latency inference for generative AI models. The new embedding models achieve up to 4X lower latency compared to other popular open-source LLM engines. Additionally, Fireworks AI has managed to reduce inference times by up to 12x compared to vLLM and 40x compared to GPT-4.
Hardware and Partnerships
To ensure high performance, Fireworks AI leverages NVIDIA H100 and A100 Tensor Core GPUs through Amazon EC2 P4 and P5 instances. This strategic partnership with NVIDIA and AWS is key to delivering their high-performance inference services.
Model Customization and Fine-Tuning
Developers can easily run and fine-tune state-of-the-art, open-source models with minimal human-curated data using Fireworks AI. Their ultra-fast LoRA fine-tuning allows for quick customization of models to meet specific needs, enabling a seamless transition from dataset preparation to querying a fine-tuned model within minutes.
New Features and Updates
Fireworks AI continues to enhance its platform with several new features, including:
- Dedicated deployments on private GPUs
- Improved speeds and rate limits for serverless models
- Post-paid billing options
These updates are aimed at making the platform more accessible and scalable for developers and businesses.
Compound AI Systems
Fireworks AI is pioneering the development of compound AI systems, such as FireFunction V2, which can orchestrate across multiple models, external data, and other APIs. This innovation is part of their broader vision to support the shift towards compound AI systems.
Funding and Expansion
Fireworks AI recently secured $52M in a Series B funding round led by Sequoia Capital, bringing their total capital raised to $77M. This substantial funding will drive the development of compound AI systems and further expand their platform.
With these advancements, Fireworks AI is poised to revolutionize the field of generative AI, offering developers powerful tools to create and customize models with unprecedented speed and efficiency.
