Arvind (Yetirajan) Narayanan Iyengar – Medium

Arvind (Yetirajan) Narayanan Iyengar

On the scale of large language models (LLMs)

Introduction

Feb 8

On the scale of large language models (LLMs)

Feb 8

On the design of the release backlog for IDP applications

Introduction

Aug 2, 2023

On the design of the release backlog for IDP applications

Aug 2, 2023

On the design of the product roadmap for IDP applications

Introduction

Jul 21, 2023

On the design of the product roadmap for IDP applications

Jul 21, 2023

On the design of the product vision and the product backlog for IDP applications

Introduction

Jun 15, 2023

On the design of the product vision and the product backlog for IDP applications

Jun 15, 2023

On the backward compatibility of ML library versions using the reflective software architecture…

Introduction

Apr 17, 2023

On the backward compatibility of ML library versions using the reflective software architecture…

Apr 17, 2023

On reinforcement learning for solving the FrozenLake problem

Introduction

Apr 7, 2023

On reinforcement learning for solving the FrozenLake problem

Apr 7, 2023

On document forensics for ID card fraud detection using ELA and RPA

Introduction

Apr 6, 2023

On document forensics for ID card fraud detection using ELA and RPA

Apr 6, 2023

On the exploration of the blackboard software architecture pattern for IDP

Introduction

Apr 4, 2023

On the exploration of the blackboard software architecture pattern for IDP

Apr 4, 2023

On financial analysis for software product procurement

Introduction

Mar 28, 2023

On financial analysis for software product procurement

Mar 28, 2023

Published in
GoPenAI

OpenAI Codex vs GitHub Copilot vs ChatGPT for writing and generating code

Introduction

Mar 27, 2023

OpenAI Codex vs GitHub Copilot vs ChatGPT for writing and generating code

Mar 27, 2023

Arvind (Yetirajan) Narayanan Iyengar

Arvind (Yetirajan) Narayanan Iyengar

King of the ascetics | Solutions Lead at Intain with 10 years of research experience. My interests lie in CV, NLP, ML, Deep learning and Software Engineering.

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