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Podcast: Arxiv Papers
Episode: [QA] Tina: Tiny Reasoning Models via LoRA
Description: Tina models achieve strong reasoning performance cost-effectively using minimal resources and efficient reinforcement learning techniques, surpassing existing models while significantly reducing post-training costs.https://arxiv.org/abs//2504.15777YouTube: https://www.youtube.com/@ArxivPapersTikTok: https://www.tiktok.com/@arxiv_papersApple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers