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You Don’t Need Normalization In Transformers Anymore
A deep dive into the internals of Layer Normalization, and how a simple function called Dynamic Tanh (DyT) can replace them entirely in the Transformer…
Aug 15
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Dr. Ashish Bamania
7
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You Don’t Need Normalization In Transformers Anymore
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A 27M Hierarchical Reasoning Model Beats OpenAI's 'o3-mini-high'
A deep dive into the Hierarchical Reasoning Model to understand its internals that help it outperform powerful reasoning models available to us today.
Aug 10
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Dr. Ashish Bamania
11
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A 27M Hierarchical Reasoning Model Beats OpenAI's 'o3-mini-high'
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10 Must-Know Concepts For AI Engineers To Build Better Systems
CAP Theorem, Design Patterns, Big-O Notation, and more
Aug 5
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Dr. Ashish Bamania
10
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10 Must-Know Concepts For AI Engineers To Build Better Systems
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Top Vision Models Cannot Really See Our World
A new vision benchmark exposes the poor vision capabilities of top Multimodal LLMs available today. What does this mean for the future of AI?
Aug 1
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Dr. Ashish Bamania
4
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Top Vision Models Cannot Really See Our World
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July 2025
Model Context Protocol Isn't Confusing If You Understand It This Way
Take a deep dive into how the Model Context Protocol (MCP) works and solidify your understanding by building an agentic system that uses it.
Jul 26
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Dr. Ashish Bamania
13
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Model Context Protocol Isn't Confusing If You Understand It This Way
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LLMs Can Now Self-Evolve At Test Time Using Reinforcement Learning
A deep dive into Test-Time Reinforcement Learning (TTRL), a technique that allows LLMs to learn from test-time data using RL without ground-truth…
Jul 18
•
Dr. Ashish Bamania
15
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LLMs Can Now Self-Evolve At Test Time Using Reinforcement Learning
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Microsoft Reveals Its Path To Medical Superintelligence
A deep dive into Microsoft’s new medical benchmark called ‘SDBench’ and a multi-agentic system called ‘MAI-DxO’ to explore what they mean for the future…
Jul 12
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Dr. Ashish Bamania
5
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Microsoft Reveals Its Path To Medical Superintelligence
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LLMs Fail Embarrassingly At Newer Ways Of Testing Understanding
A deep dive into Potemkin understanding in LLMs, why current benchmarks miss it, and why it matters for measuring what models really understand.
Jul 5
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Dr. Ashish Bamania
13
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LLMs Fail Embarrassingly At Newer Ways Of Testing Understanding
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June 2025
LLMs Can Now Be Pre-Trained Using Pure Reinforcement Learning
A deep dive into Reinforcement Pre-Training (RPT), a new technique introduced by Microsoft researchers to scalably pre-train LLMs using RL.
Jun 29
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Dr. Ashish Bamania
15
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LLMs Can Now Be Pre-Trained Using Pure Reinforcement Learning
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Tech Shouldn’t Be This Hard To Learn
Make learning Tech easier than ever with your first visual Tech learning guide!
Jun 25
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Dr. Ashish Bamania
7
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Tech Shouldn’t Be This Hard To Learn
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Darwin-Gödel Machine: The First Self-Improving AI System Is Here
A deep dive into the novel architecture of the Darwin-Gödel Machine and what its impressive self-improvement capability means for the future of AI.
Jun 23
•
Dr. Ashish Bamania
16
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Darwin-Gödel Machine: The First Self-Improving AI System Is Here
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“LLMs In 100 Images” Is Now Out!
Grab your copy today and understand LLMs visually like never before!
Jun 18
•
Dr. Ashish Bamania
8
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“LLMs In 100 Images” Is Now Out!
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