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What Are Agentic LLMs? A Comprehensive Technical Guide
Understanding the architecture, training methodologies, and implementation strategies that transform language models into autonomous AI agents
 • 
Nilesh Barla
Evaluating AI Agents in 2025
A Benchmarking Guide to AI Agents for Product Leaders
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Nilesh Barla
Humanity's Last Exam Benchmark: How “Humanity’s Last Exam” Pushes GPT-4-Level AI Beyond MMLU
Brief notes on the multi-modal HLE benchmark built to test frontier models after traditional AI leaderboards hit saturation.
 • 
Nilesh Barla
What is Scaling RL in LLMs?
A Technical Exploration of Reinforcement Learning Scaling in LLMs
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Nilesh Barla

April 2025

What is Test-time Scaling?
A Note on Test-time or Inference Scaling for Reasoning Models.
 • 
Nilesh Barla
What is the ARC AGI Benchmark and its significance in evaluating LLM capabilities in 2025
A Comprehensive Guide to Understanding Abstract Reasoning Assessment in Large Language Models
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Nilesh Barla
How Do Embeddings Work in LLMs?
A Comprehensive Analysis of Vector Representations in Large Language Models
 • 
Nilesh Barla
Understanding Multimodal Large Language Models
A Systematic Analysis of How Integrating Multiple Perception Channels Reshapes Language Model Capabilities
 • 
Nilesh Barla
Understanding Attention Mechanisms in LLMs
A Review of Attention’s Role in Contemporary LLMs
 • 
Nilesh Barla
A Survey on the LLM Released in Q1 2025
A Comprehensive Analysis of Q1's Breakthrough Language Models and Their Strategic Implications
 • 
Nilesh Barla
Agentic Behaviour of LLM
A survey of how versatile LLMs are becoming
 • 
Nilesh Barla

March 2025

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