Daily Dose of Data Science

Daily Dose of Data Science

LLMs

System 1 vs. System 2 Agent Harnesses, clearly explained
...and a popular MoE interview question.
 • Avi Chawla
Contrastive Language Model, clearly explained
NVIDIA and Stanford just challenged Jev...
 • Akshay Pachaar
MoE inference engineering, clearly explained
...with visuals.
 • Avi Chawla
Build your own Jev (100% local)
...explained step-by-step with code.
 • Avi Chawla
Jev, Clearly Explained
...with visuals.
 • Avi Chawla
LLM Routing Can Cost More Than Not Routing
...covered with a production-grade router for LLM apps.
 • Avi Chawla
5 Embedding Compression Techniques
...explained visually.
 • Avi Chawla
Attention Mechanisms in LLMs, clearly explained
Everything you need to understand how attention works, why the KV cache is the bottleneck, and what every attention variant is actually solving.
 • Avi Chawla
Static vs. Dynamic vs. Continuous Batching in LLMs, clearly explained!
+ a popular LLM interview question.
 • Avi Chawla
KV vs Prefix vs Prompt vs Semantic Caching
...explained with best practices in production.
 • Avi Chawla
A Cheaper Model Does Not Imply a Cheaper Turn
The practical implications of model routing, clearly explained.
 • Avi Chawla
How Production LLMs Reason Better At Inference Time
8 techniques, explained visually.
 • Avi Chawla
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