Latest Paper Analyses

Feast: An Open Source Feature Store for Machine Learning

Kubeflow Pipelines: Orchestrating Machine Learning Workflows

Great Expectations: Data Quality and Validation Framework

Breaking the Memory Wall: A Deep Dive into ZeRO (Zero Redundancy Optimizer)

# Breaking the Memory Wall: A Deep Dive into ZeRO (Zero Redundancy Optimizer) In the era of Large Language Models (LLMs), we are facing a brutal real...

TensorRT: High-Performance Deep Learning Inference Platform

Efficient Model Tuning: A Deep Dive into Low-Rank Adaptation (LoRA)

# Efficient Model Tuning: A Deep Dive into Low-Rank Adaptation (LoRA) In the era of Large Language Models (LLMs), the "compute wall" is a real bottle...

Democratizing LLM Finetuning: A Deep Dive into QLoRA

# Democratizing LLM Finetuning: A Deep Dive into QLoRA Fine-tuning a Large Language Model (LLM) with billions of parameters typically requires an ind...

Data-Driven Scaling: Deconstructing the Phi-3 Family Architecture

# Data-Driven Scaling: Deconstructing the Phi-3 Family Architecture In the current LLM arms race, the prevailing narrative has been "bigger is better...

Unlocking LLM Reasoning: A Deep Dive into Chain-of-Thought (CoT) Prompting

# Unlocking LLM Reasoning: A Deep Dive into Chain-of-Thought (CoT) Prompting In the early days of Large Language Models (LLMs), we treated them like...

Solving the Memory Bottleneck: A Deep Dive into Grouped-Query Attention (GQA)

# Solving the Memory Bottleneck: A Deep Dive into Grouped-Query Attention (GQA) In the race to build larger and more capable Large Language Models (L...