Multi-harness RL slides
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Watch a talk on training coding agents with RL environments
🦥 unsloth my mind
MadMike
MadMike477
AI & ML interests
AI/ML and tech enthusiast, training & fine-tuning models 🦥💚
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liked a Space about 15 hours ago
FineEnvs/multi-harness-rl-slides reacted to sergiopaniego's post with ❤️ about 15 hours ago
sharing the slides from my talk at Kernel Panic in Madrid
It's basically "The ultimate guide to multi-harness RL" turned slides and condensed into a 20 min talk
https://huggingface.co/spaces/FineEnvs/multi-harness-rl-slides
congrats to @Helmcode for the organization!
blog: https://huggingface.co/spaces/FineEnvs/multi-harness-rl liked a Space about 16 hours ago
webml-community/embeddinggemma-2-webgpuOrganizations
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sharing the slides from my talk at Kernel Panic in Madrid
It's basically "The ultimate guide to multi-harness RL" turned slides and condensed into a 20 min talk
FineEnvs/multi-harness-rl-slides
congrats to @Helmcode for the organization!
blog: FineEnvs/multi-harness-rl
It's basically "The ultimate guide to multi-harness RL" turned slides and condensed into a 20 min talk
FineEnvs/multi-harness-rl-slides
congrats to @Helmcode for the organization!
blog: FineEnvs/multi-harness-rl
liked a
Space about 16 hours ago
reacted to danielhanchen's post with 🚀🔥❤️ 1 day ago
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Google releases EmbeddingGemma 2, a new open embedding model that runs locally on 0.5GB RAM.
The 740M parameter Apache 2.0 model combines a 270M text model with vision (170M) + audio (300M).
Run & train the model via Unsloth.
GGUF: unsloth/embeddinggemma-2-GGUF
Guide: https://unsloth.ai/docs/models/embeddinggemma-2
The 740M parameter Apache 2.0 model combines a 270M text model with vision (170M) + audio (300M).
Run & train the model via Unsloth.
GGUF: unsloth/embeddinggemma-2-GGUF
Guide: https://unsloth.ai/docs/models/embeddinggemma-2
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Welcome RL Environments to the hub
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