Fireworks - Blog

20x faster Whisper than OpenAI - Fireworks audio transcribes 1 Hour in 4 Seconds

Fireworks now supports audio transcription, with a fast and comprehensive audio model. Transcribe 1 hour of audio in 4 seconds and use additional features like audio-transcription alignment and voice activity detection.

Featured Blogs

20x faster Whisper than OpenAI - Fireworks audio transcribes 1 Hour in 4 Seconds

How Cresta drives millions of real-time, AI-powered contact center interactions with Fireworks

Fireworks f1: A Breakthrough in Complex Reasoning with Compound AI

How Upwork and Fireworks deliver faster, smarter proposals for freelancers

FLUX.1 on Fireworks: Fast, Frugal, and Flexible

FireAttention V3: Enabling AMD as a Viable Alternative for GPU Inference

Three projects, one platform: A developer's winning streak with Fireworks AI

Partnering with Meta: Bringing Llama 3.2 to Fireworks for Fine-Tuning and Inference

How Enterprises are using Multimodal Models in production with Fireworks

Multi-LoRA: Personalize AI at scale and deliver the best experience for each customer and use case, with 100x cost-efficiency

FireOptimizer: Customizing latency and quality for your production inference workload

Build Your Own Flight Recommendation System using FastAPI, SerpAPI, and Firefunction

Building a RAG with Astro, FastAPI, SurrealDB and Llama 3.1

How Fireworks evaluates quantization precisely and interpretably

Introducing Llama 3.1 inference endpoints in partnership with Meta

Fireworks AI Raises $52M Series B to Lead Industry Shift to Compound AI Systems

How Cursor built Fast Apply using the Speculative Decoding API

FireAttention V2: 12x faster to make Long Contexts practical for Online Inference

Firefunction-v2: Function calling capability on par with GPT4o at 2.5x the speed and 10% of the cost

Announcing custom models and on-demand H100s with 50%+ lower costs and latency than vLLM

GPUs on-demand: Not serverless, not reserved, but some third thing

Code Generation with Large Language Models - Fireworks AI Take

Doomed to Code: How we Teamed Up with Fireworks AI at MistralAI Hackathon to Conquer the Shores of Hell

Partnering with Meta to bring Llama 3 to Firework’s inference and fine-tuning

Getting Started with Stability’s API Powered by Fireworks

Optimizing Retrieval Augmented Generation (RAG) with MongoDB Atlas and Fireworks AI

Fireworks launches fine-tuning service - Rapidly iterate on quality and scale to production through Fireworks inference

Fireworks Platform Spring 2024 Updates

FireFunction V1 - Fireworks’ GPT-4-level function calling model - 4x faster than GPT-4 and open weights

Why do all LLMs need structured output modes?

FireLLaVA: the first commercially permissive OSS LLaVA model

FireAttention — Serving Open Source Models 4x faster than vLLM by quantizing with ~no tradeoffs

Fireworks Raises the Quality Bar with Function Calling Model and API Release

Mixtral 8x7B on Fireworks: faster, cheaper, even before the official release

LLM Inference Performance Benchmarking (Part 1)

New in Fireworks: Image-to-Image and ControlNet support for SSD-1B and SDXL!

Fireworks.ai Achieves SOC 2 Type II and HIPAA Compliance

Accelerating Code Completion with Fireworks Fast LLM Inference

Fireworks.ai Now Available on LangChain Prompt Playground

Simplifying Code Infilling with Code Llama and Fireworks.ai

Speed, Python: Pick Two. How CUDA Graphs Enable Fast Python Code for Deep Learning

Fireworks.ai: Fast, Affordable, Customizable Gen AI Platform

Multi-Query Attention is All You Need