Technical Blog & Writing

Rerankers in RAG

Retrieval Augmented Generation (RAG) systems have revolutionized how we access and synthesize information. By combining the power of large language models with comprehensive reranking strategies for improved relevance and reduced hallucinations.

Published: Apr 28 • Read Time: 4 minutes

Training AI Agents to Self-Correct: A Deep Dive into Agent-R's Theoretical Foundations

Comprehensive analysis of Agent-R framework that enables AI agents to critique their own actions and rewrite trajectories while performing tasks. Explores Monte Carlo Tree Search integration with iterative self-training for error recovery in multi-step tasks.

Published: Feb 12 • Read Time: 5 minutes

Shared Recurrent Memory Transformer

Multi-agent systems have become increasingly important in solving complex problems through distributed intelligence and collaboration. Exploring advanced transformer architectures with shared memory mechanisms for improved coordination.

Published: Feb 3 • Read Time: 6 minutes

Titans: Learning to Memorize at Test Time

A research paper by Ali Behrouz, Peilin Zhong and Vahab Mirrokni from Google Research introduce a groundbreaking neural network module that addresses long-term dependencies through innovative test-time memorization techniques.

Published: Jan 25 • Read Time: 8 minutes

Inside AI's Black Box: Mechanistic Interpretability as a Key to AI Transparency

Artificial intelligence (AI) systems are becoming increasingly sophisticated, capable of generalizing across tasks and domains. However, understanding how these systems work internally remains a critical challenge for building trustworthy AI.

Published: Jan 10 • Read Time: 7 minutes

A Deep Dive into LLM Guardrails

In the rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) have emerged as powerful tools with far-reaching applications. Exploring comprehensive safety mechanisms and ethical considerations for responsible AI deployment.

Published: Dec 3, 2024 • Read Time: 9 minutes

LLM as-a-Judge

The fascinating world of AI evaluation took on new dimensions during a recent lecture by Prof. Shim at our university. Exploring how Large Language Models can serve as sophisticated evaluation systems for AI applications and quality assessment.

Published: Nov 2024 • Read Time: 6 minutes

Multi-Agent AI Systems

Exploring agent architectures, coordination mechanisms, and self-correcting systems that enable multiple AI agents to work together effectively.

Neural Memory & Architectures

Deep dives into advanced neural network architectures, memory mechanisms, and novel approaches to handling long-term dependencies in AI systems.

RAG & Information Retrieval

Practical guides and theoretical insights into Retrieval-Augmented Generation, reranking systems, and optimizing information retrieval for AI applications.

Edge AI & Optimization

Research insights into model compression, TinyML implementations, and bringing AI capabilities to resource-constrained edge devices.