Difference between revisions of "Artificial Intelligence Software Agent"

From MIT Technology Roadmapping
Jump to navigation Jump to search
Line 39: Line 39:


==Roadmap Model using OPM==
==Roadmap Model using OPM==
Insert Final OPM
AI Software Agent OPM
 
 
[[File:AI Agent OPM.png|365px|thumb|left|2AISA OPM]]


==Figures of Merit (FOM)==
==Figures of Merit (FOM)==


[[File:FOM PSET2 part2.png|800px]]
[[File:FOM PSET2 part2.png|800px]]

Revision as of 03:17, 10 October 2024

Roadmap Creators


Artificial Intelligence (AI) Software Agent Roadmap

  • 2AISA - Artificial Intelligence (AI) Software Agent

The technology we selected is an AI Software Agent capable of receiving natural language prompts, generating complex software development strategies, executing all programming tasks to build end-to-end software applications, and deploying those applications for business or leisure purposes. This is a Level 2 Technology Roadmap. Level 1 encapsulates the ecosystem of all AI System Technologies, while Levels 3 and 4 would include foundational technologies central to the form and function of AI, including but not limited to Machine Learning, Neural Networks, Large Language Models, and Graphics Processing Units (GPUs).


Roadmap Overview

Since ChatGPT-4 was released in 2022, it has amazed people worldwide and marked the beginning of a new era in AI innovation. The prosperity has expanded from hardware advancements like GPUs to breakthroughs in large language models (LLM), natural language processing (NLP), and machine learning (ML). This year, 2024, has been nominated the year of AI agents due to the rapid advancements in AI technologies, with emerging trends such as multi-agent systems and agentic AI. These agents are reshaping industries by automating processes, enhancing productivity, and enabling more multi-model interactions. Software AI agents are becoming increasingly sophisticated, offering new possibilities for automation, decision support, and human-AI collaboration across various domains.

AI agents possess several core capabilities:

  • Perception: gather data and documents from database, APIs
  • Reasoning: analyze data, identify patterns, and make informed decision using advanced algorithms and machine learning
  • Action: autonomously perform tasks, from answering queries to executing complex processes
  • Learning: continuously learn from experience and improve performance over time


Framework of AI Agents - Source: [1]
AI Software Agent - Source: [2]


According to the AI Benchmarking Report by CodeSignal, while AI agents are increasingly powerful, the creativity and intuition of human engineers demonstrate when dealing with complex or cutting-edge problems still marks a weakness of AI agents. This technology roadmap explores the potential of AI software agent in automation, decision making, and human-AI collaborations.

Reference:

  1. https://www.leewayhertz.com/ai-agents/
  2. https://yellow.ai/blog/ai-agents/
  3. https://codesignal.com/blog/engineering/ai-coding-benchmark-with-human-comparison/


Design Structure Matrix (DSM) Allocation

Insert DSM Information

Roadmap Model using OPM

AI Software Agent OPM


2AISA OPM

Figures of Merit (FOM)

FOM PSET2 part2.png