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  "text": "A clear pattern is emerging as more teams move from copilots to real agentic systems. The hard problems aren’t in the prompting tricks. They’re in the longer horizon: sequencing decisions, managing evolving state, and using tools reliably over many turns. \n\nThat’s where the limits of SFT become obvious, and where multi-turn RL becomes a practical lever for stability, recovery, and overall task success.\n\nAt Fireworks AI, we’ve been digging into what it actually takes to train these systems end-to-end. If you’re building agents that need to plan, call tools, and adapt as conditions change, this new piece outlines the design principles, tradeoffs, and training patterns that matter in practice.\n\nYou can read the full blog here: https://t.co/ylNVngCStA",
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