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

AddAdd your Listings

Blogs

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

Last December, Fireworks launched the alpha version of our first function calling model to empower developers to incorporate external knowledge in their LLM applications.

Blogs Fireworks

BlogsFirefunction-v2: Function calling capability on par with GPT4o at 2.5x the speed and 10% of theFireworks BlogsHow Gumloop Scaled Open-Weight Model Usage 7x in 3 Weeks with FireworksFireworks BlogsDistillation with Reasoning: Can DeepSeek R1 Teach Better Than Humans?Fireworks BlogsQwen3 Decoded: Choosing the Right Model For Your TaskFireworks BlogsTrilogy Validates Open-Weight AI Models for Enterprise Workloads with FireworksFireworks BlogsBuilding an open-source Browser Agent on FireworksFireworks BlogsHoneycomb Announces Availability of MCP in the New AWS Marketplace AI Agents and Tools CategoryHoneycomb BlogsHoneycomb Acquires Grit and Expands Leadership Team to Accelerate Customer Value and EnterpriseHoneycomb Products & ServicesGitBook & Scalar: LetGitbook Products & ServicesWhat is OKF? Understanding Google’s Open Knowledge FormatGitbook BlogsWhat’s MCP all about? Comparing MCP with LLM function callingNeon BlogsRethinking Snapshots at Scale: Neon vs AWS RDS - NeonNeon BlogsChatbots just got smarter: GPT-4o mini and URL scrapingZapier BlogsHow Real Estate Agents Efficiently Manage New LeadsZapier BlogsCohere Labs Launches Tiny Aya for Multilingual AI | CohereCohere Products & ServicesModel Vault | Dedicated Model Inference Platform | CohereCohere ResearchRobust Distillation for Worst-class PerformanceCohere ResearchElo Uncovered: Robustness and Best Practices in Language Model EvaluationCohere ResearchSnapKV: LLM Knows What You are Looking for Before GenerationCohere NewsHow This Open Source Bionic Leg Could Revolutionize ProstheticsThenewstack