Tools
A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. @Macroscope got the control they needed with the Fir…
A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. @Macroscope got the control they needed with the Fireworks Training API to train a model using their own advanta
A noisy code reviewer gets ignored. Flag too many non-issues and engineers tune it out. @Macroscope got the control they needed with the Fireworks Training API to train a model using their own advantages and loss to improve the signal-to-noise ratio. Build your own frontier: https://fireworks.ai/training
Related
- The MiniMax M3 model is now available for training on Fireworks! You can use managed LoRA SFT and DPO for standard fine-tuning workflows, or…
- You can now fine-tune Kimi K3 on Fireworks. Conduct supervised fine-tuning, preference tuning, and reinforcement learning via Training API. …
- fyi @FireworksAI_HQ launched inference AND training for K3 on day 0. having 'specialized intelligence' isn't just inference, it's inference …
Source: Fireworks AI (X) | 2026-09-02