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The data I get back from training w/ my Mantis 10X keeps me honest during dry fire. Trigger pulls, movements and overall consistency…. tracked and on display to further study. This skill is definitely worth the training time so grab your favorite unloaded pistol & give it a go!

Lena Miculek

45,479 subscribers

37,615 Aufrufe • vor 2 Jahren •via X (Twitter)

Anya Rossi• Live Now

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That head bob isn’t a dance move — it’s a signal. During hoist-rescue training, CAL FIRE crews use big, clear motions so pilots know exactly when a firefighter is off the line and the aircraft is clear to lift. Training like this keeps our teams sharp and ready for real rescues. 📹CAL FIRE Riverside at Hemet-Ryan Air Attack Base. 👨🚒🚁 #CALFIRE #HoistRescue #Helitack #FireTraining #AllRiskResponse

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It’s been a while that I put on a promotion on my explicit content… so here you go NOW is the time to subscribe and enjoy your favorite curvy Latina♨️

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At Tozaisen this week, Tomoza landed what appears to be a crossup Double Knee. I took it into training mode for a bit, but the timing and spacing is so specific that I couldn't hit it with much consistency. By the way, TMF and TMZ had a great run so check out the video!

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Introducing RL Environment Creator Skill Now any one can create RL environments $ npx skills add adithya-s-k/RL_Envs_101 > You can create environments across multiple frameworks like OpenEnv, OpenReward, Verifiers, NemoGym ... > the repo has live working examples of environments that your coding agent can reference > The skill is design to first understand what type of model you are training and create an environment while keeping that in mind ps. There’s a lot more to building RL environments that can be used for training. One major aspect is the data, which this skill can’t directly solve. However, the skill will help with implementing tools, rewards, and other components of an RL environment, making it easier to go from idea to implementation quickly across different frameworks. Let me know if you’d be interested in a detailed, end-to-end blog/tutorial on building an environment and actually training a model for a useful use case.

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