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Six Key Metrics for AI Agent Evaluation
...explained with code!
16 hrs ago
•
Avi Chawla
5
The Anatomy of an Agent Harness
A deep dive into what Anthropic, OpenAI, Perplexity and LangChain are actually building.
Apr 6
•
Avi Chawla
11
2
MLOps and LLMOps Case Studies
How Booking.com, Uber, Stripe, and more actually think about ML and AI systems in production.
Apr 5
•
Avi Chawla
12
1
1
A Memory-efficient Technique to Train Large Models
...that even LLMs like GPTs and LLaMAs use.
Apr 3
•
Avi Chawla
7
1
What are Agent Skills and How Agents Use Them?
A 7-step process, explained visually!
Apr 2
•
Avi Chawla
11
How to Vibe Code: A Developer's Playbook
The principles and workflows that separate developers who use AI from developers who ship with it.
Apr 1
•
Avi Chawla
9
March 2026
MiniMax M2.7: The self-refactoring Agent architecture
AI that improves without retraining!
Mar 31
•
Avi Chawla
6
Claude vs. Claude Code vs. Cowork
...explained visually!
Mar 31
•
Avi Chawla
8
Concepts of LLM Serving in LLMOps
...covered with API-based access, inference with vLLM, and practical decisions.
Mar 28
•
Avi Chawla
5
The Three Layers of Context That Make Coding Agents Actually Useful
...explained with code!
Mar 27
•
Avi Chawla
5
CPU vs GPU vs TPU vs NPU vs LPU
...explained visually!
Mar 26
•
Avi Chawla
12
1
A Disaster-free Way to Run OpenClaw on Your Real Data/Apps!
...explained with code (100% local).
Mar 25
•
Avi Chawla
8
1
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