What's new

Changes

• Accepted code and SQL interview prep problems now count toward progress.
• Solved interview prep problems now appear in recent activity.

Changes

• Share interview experiences, ask questions, vote, and reply.
• Continue the LLM Internals series with speculative decoding.

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• Thirteen computer vision visualizations were refreshed.
• Solutions for free problems in the Pandas, NumPy, PyTorch, and SQL Sheets are now available to signed-in learners.

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• Fine-tune Qwen3-4B in a guided GPU notebook.
• Build an inference server and explore Mixture of Experts routing.

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• Follow a guided roadmap from foundations through complete projects.
• Track your TensorTonic 125 progress and continue directly into practice.

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• Build a RAG system and a ReAct agent step by step.
• Create an MCP server through guided notebook exercises.

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• Practice language modeling with NumPy, PyTorch, CUDA, and Triton.
• Move from core components to training and systems exercises.

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• Submit product ideas directly from TensorTonic.
• Browse requests and see what other learners want next.

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• Understand common use cases for conventional machine learning.
• Follow best practices from data preparation through model evaluation.

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• Learn policy networks, value networks, and Monte Carlo tree search.
• Work through the system with interactive visual explanations.

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• Build a scalar autograd engine and neural network from first principles.
• Use TensorTonic in a complete light theme across the platform.

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• Study the Kimi K3 architecture through ten interactive visualizations.
• Inspect its model design and training concepts in one guided page.

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• Add a TensorTonic progress badge to your GitHub profile README.
• Keep a generated index of solved problems in your solutions repository.

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• Walk through GPT pretraining with interactive visualizations.
• Study attention, batching, quantization, KV cache, and MoE serving.

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• Implement transformer components through a structured capstone.
• Run and evaluate the completed model inside TensorTonic.

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• Explore GPT-2, Llama, Gemma 3, Word2Vec, and DenseNet visually.
• Inspect DeepSeek-V3, GLM-4.5, GPT-OSS, and Arcee Trinity.

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• Practice LLM internals and research frontier mathematics.
• Test training, decoding, post-training, and alignment knowledge.

Changes

• Find problem sets and study plans through a redesigned Problems page.
• See the full learning experience through a refreshed landing page.