08AI Research
FrogsGame Post-Training
Post-train Qwen3-8B on a local A100 to solve unseen constraint-puzzle boards through iterative tool calls.
34 tasks across five categories. The original V1 task set lives at /v1.
Post-train Qwen3-8B on a local A100 to solve unseen constraint-puzzle boards through iterative tool calls.
Make the real Granite hybrid Mamba2 layer's CUDA inference path faster on a B200, without changing what it computes.
Squeeze a math-reasoning PEFT adapter for a frozen Qwen3-14B out of two T4 GPUs and a 20-hour budget.
Design a novel torch.optim.Optimizer that out-converges a strong reference portfolio across ten diverse workloads with a single fixed config.
Build a blind chess bot that recovers Stockfish's strength against opponents who can see the full board.
Make an already well-tuned SGLang server serving Qwen3.5-4B on a B200 faster, without changing a token of its greedy outputs.
Watch three seconds of a snooker shot and predict where every ball will be up to four seconds later.
Build an offline music diarizer that transcribes instrument notes with MIDI pitches and segments singer activity in short audio clips.
Race a simulated car around tracks it has never seen, from the forward camera image alone, no telemetry.