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Lensa ML
108 interactive ML explainers, from calculus to LLM serving
Free interactive explainers for machine learning and the math under it. Each topic is six steps, and the sliders drive the real formulas. It runs from calculus to transformers, plus LLM serving and three system design case studies. No account needed.
Lensa ML is a free site of interactive explainers for machine learning and the math under it. Each topic is six short steps, and the sliders run the real math: raise the learning rate and gradient descent starts to overshoot, add tokens and the KV cache grows.
There are 108 explainers. They start with derivatives, linear algebra and probability, go through classic ML and deep learning, and end with transformers and how LLMs are trained and served (sampling, quantization, FlashAttention, speculative decoding, distributed training). Three system design case studies let you set targets for latency, throughput and cost, then watch the GPU count, recall and cost per query change.
It's free with no account. Progress stays in your browser, and each explainer has a written version under the visuals with links to the papers.
Corrections are welcome, especially where an explanation is wrong or a simplification goes too far.
About Lensa ML on Product Hunt
“108 interactive ML explainers, from calculus to LLM serving”
Lensa ML was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #226 on the daily leaderboard. Free interactive explainers for machine learning and the math under it. Each topic is six steps, and the sliders drive the real formulas. It runs from calculus to transformers, plus LLM serving and three system design case studies. No account needed.
On the analytics side, Lensa ML competes within Education, Artificial Intelligence and Online Learning — topics that collectively have 567.1k followers on Product Hunt. The dashboard above tracks how Lensa ML performed against the three products that launched closest to it on the same day.
Who hunted Lensa ML?
Lensa ML was hunted by Andika Rachman. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Lensa ML including community comment highlights and product details, visit the product overview.
Andika Rachman
Hi Product Hunt,
Lensa ML is a free site of interactive explainers for machine learning and the math under it. Each topic is six short steps, and the sliders run the real math: raise the learning rate and gradient descent starts to overshoot, add tokens and the KV cache grows.
There are 108 explainers. They start with derivatives, linear algebra and probability, go through classic ML and deep learning, and end with transformers and how LLMs are trained and served (sampling, quantization, FlashAttention, speculative decoding, distributed training). Three system design case studies let you set targets for latency, throughput and cost, then watch the GPU count, recall and cost per query change.
It's free with no account. Progress stays in your browser, and each explainer has a written version under the visuals with links to the papers.
Good places to start:
- Gradient descent: https://lensaml.com/explainers/g...
- KV cache: https://lensaml.com/explainers/k...
- Build a RAG system: https://lensaml.com/system-desig...
Corrections are welcome, especially where an explanation is wrong or a simplification goes too far.