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index.html
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<div class="max-w-5xl mx-auto px-6 h-16 flex items-center justify-between">
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<span class="font-bold tracking-tight text-lg">MolForge</span>
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<div class="flex gap-6 text-sm font-medium text-slate-600">
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<a href="https://github.com/Adhitya-Vardhan/molt_lab" class="hover:text-black transition-colors">GitHub</a>
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<a href="https://huggingface.co/spaces/Adhitya122/molforge" class="hover:text-black transition-colors">Space</a>
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<a href="https://colab.research.google.com/drive/1c6npGkGNbbbd8XFNeS6zInBpopLnJ4W4?usp=sharing" class="hover:text-black transition-colors font-bold text-indigo-600">Try Training</a>
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</div>
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</div>
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</nav>
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MolForge proves that scientific AI should not be built as a single-shot generator. By grounding the LLM in a <strong>closed-loop scientific environment</strong>, we can train models that respect budget, coordinate with specialists, and base their discoveries on verifiable evidence.
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</p>
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<div class="flex flex-wrap justify-center gap-4">
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<a href="https://github.com/Adhitya-Vardhan/molt_lab" class="px-10 py-4 bg-slate-900 text-white font-bold rounded-xl hover:bg-slate-800 transition-all shadow-xl hover:-translate-y-1">Explore Code</a>
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<a href="https://colab.research.google.com/drive/1c6npGkGNbbbd8XFNeS6zInBpopLnJ4W4?usp=sharing" class="px-10 py-4 bg-white border-2 border-slate-900 text-slate-900 font-bold rounded-xl hover:bg-slate-50 transition-all hover:-translate-y-1">Run Notebook</a>
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</div>
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<div class="mt-16 flex justify-center gap-8 text-sm font-bold text-slate-400">
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<a href="https://huggingface.co/spaces/Adhitya122/molforge" class="hover:text-indigo-600 transition-colors uppercase tracking-widest">Space Deployment</a>
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<a href="https://huggingface.co/Adhitya122/molforge-grpo-oncology" class="hover:text-indigo-600 transition-colors uppercase tracking-widest">Model Card</a>
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</div>
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</section>
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<div class="max-w-5xl mx-auto px-6 h-16 flex items-center justify-between">
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<span class="font-bold tracking-tight text-lg">MolForge</span>
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<div class="flex gap-6 text-sm font-medium text-slate-600">
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<a href="https://github.com/Adhitya-Vardhan/molt_lab" target="_blank" rel="noopener noreferrer" class="hover:text-black transition-colors">GitHub</a>
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<a href="https://huggingface.co/spaces/Adhitya122/molforge" class="hover:text-black transition-colors">Space</a>
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<a href="https://colab.research.google.com/drive/1c6npGkGNbbbd8XFNeS6zInBpopLnJ4W4?usp=sharing" target="_blank" rel="noopener noreferrer" class="hover:text-black transition-colors font-bold text-indigo-600">Try Training</a>
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</div>
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</div>
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</nav>
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MolForge proves that scientific AI should not be built as a single-shot generator. By grounding the LLM in a <strong>closed-loop scientific environment</strong>, we can train models that respect budget, coordinate with specialists, and base their discoveries on verifiable evidence.
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</p>
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<div class="flex flex-wrap justify-center gap-4">
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<a href="https://github.com/Adhitya-Vardhan/molt_lab" target="_blank" rel="noopener noreferrer" class="px-10 py-4 bg-slate-900 text-white font-bold rounded-xl hover:bg-slate-800 transition-all shadow-xl hover:-translate-y-1">Explore Code</a>
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<a href="https://colab.research.google.com/drive/1c6npGkGNbbbd8XFNeS6zInBpopLnJ4W4?usp=sharing" target="_blank" rel="noopener noreferrer" class="px-10 py-4 bg-white border-2 border-slate-900 text-slate-900 font-bold rounded-xl hover:bg-slate-50 transition-all hover:-translate-y-1">Run Notebook</a>
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</div>
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<div class="mt-16 flex justify-center gap-8 text-sm font-bold text-slate-400">
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<a href="https://huggingface.co/spaces/Adhitya122/molforge" class="hover:text-indigo-600 transition-colors uppercase tracking-widest">Space Deployment</a>
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<a href="https://huggingface.co/Adhitya122/molforge-grpo-oncology" target="_blank" rel="noopener noreferrer" class="hover:text-indigo-600 transition-colors uppercase tracking-widest">Model Card</a>
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</div>
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</section>
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