AILLM
Knowledge Distillation: Small Models, Big Brains
Learn how knowledge distillation trains small student models from large teachers. Tune temperature and watch soft labels in the interactive playground.
8 min read
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AI
Teach machines to think, learn, and surprise you
56 posts
Showing 1-12 of 56 posts
AILLM
From Prompt Engineering to Context Engineering
Prompt engineering hit a ceiling. Context engineering - controlling what goes into the model, not just how you ask - is the real skill for 2026 AI.
7 min read
AILLM
LoRA Hyperparameters: The Tuning Guide
Learn how LoRA rank, alpha, and target modules control fine-tuning quality. Interactive playground lets you tune each parameter and see the impact live.
8 min read
AILLM
KV Cache: Why LLMs Remember, Not Recompute
Learn how the key-value cache makes LLM inference fast by remembering past attention computations. Interactive simulator shows the speedup token by token.
7 min read
AILLM
Flash Attention: Why Your GPU Is 90% Idle
Flash Attention fixes the memory bottleneck that wastes most of your GPU's power during attention. How tiling works and why every LLM uses it.
6 min read
AILLM
Quantization: Shrink Any LLM 4x in Minutes
Learn how quantization compresses LLMs from 140 GB to 35 GB with minimal accuracy loss. What it is, how it works, and when to use INT8 vs INT4.
7 min read
AILLM
Google Just Made LLMs 6x Cheaper to Run
Google's TurboQuant compresses the KV cache to 3 bits - 6x less memory, zero accuracy loss, no retraining. Here is what it is and why it matters.
5 min read
AILLM
Fine-Tuning vs RAG: Bake It or Fetch It
Learn when to fine-tune an LLM vs use RAG for knowledge. Interactive decision tool helps you pick the right approach for your use case.
9 min read
AILLM
Mixture of Experts: Sparse, Scalable LLMs
Learn how Mixture of Experts lets LLMs use trillions of parameters while activating only a fraction per token. Route tokens through experts interactively.
9 min read
AILLM
Reward Hacking: When LLMs Game the System
Learn how LLMs exploit reward models during RLHF training. Interactive playground lets you watch a model discover and exploit reward shortcuts.
9 min read
AILLM
Direct Preference Optimization: RLHF Without Pain
Learn how DPO aligns LLMs with one loss function and no RL loop. Interactive playground lets you tune beta and watch preferred outputs rise in probability.
9 min read
AILLM
Reinforcement Learning from Human Feedback: Training LLMs
Learn how RLHF turns raw language models into helpful assistants. Interactive playground lets you rank outputs and watch a reward model update live.
9 min read