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A practical guide to building enterprise-grade RL agents under strict privacy constraints
A practical guide to building enterprise-grade RL agents under strict privacy constraints
This article highlights an approach we developed for improving an enterprise agent’s ability to assist users effectively. At Microsoft…
Aditya Challapally
May 26
A primer for understanding quantum computing in 2025
A primer for understanding quantum computing in 2025
In May 1981, MIT held a conference on the physics of computation. Organized in conjunction with IBM at MIT’s Endicott House in Dedham…
Darshkodwani
May 21
Leveraging Mean Opinion Score for quality assessment in computer vision
Leveraging Mean Opinion Score for quality assessment in computer vision
In an era in which Artificial Intelligence is shaping how we see, hear, and interact with digital content, understanding human perception…
Darina Bal Roitshtain
May 19
Leveraging Explainable AI to proactively mitigate bias in automated decision systems
Leveraging Explainable AI to proactively mitigate bias in automated decision systems
We often hear that AI “hallucinates” in certain scenarios or that it can’t handle complex tasks because it “doesn’t understand” the…
Sajal Mittal
May 14
The stability-plasticity dilemma in AI
The stability-plasticity dilemma in AI
In the continuing odyssey of engineering truly sentient systems, one of the most formidable yet exhilarating frontiers is the intricate…
Aparana Gupta
May 12
AI agents: The digital sidekicks we never knew we needed!
AI agents: The digital sidekicks we never knew we needed!
The landscape of Artificial Intelligence is rapidly evolving, with significant advancements transforming the way we interact with…
Eva Jurado Cortés
May 7
How to improve mathematical skills with AutoGen agents
How to improve mathematical skills with AutoGen agents
Large Language Models (LLMs) like GPT-4 have revolutionized the field of natural language processing, enabling a wide range of applications…
Marco Zatta
May 5
Stop the spill: The blueprint for eradicating data leakage
Stop the spill: The blueprint for eradicating data leakage
In the high-stakes arena of Machine Learning, every data point is cherished as a beacon of untapped insight and potential. Yet, hidden in…
Aparana Gupta
Apr 30
Empowering field engineers with SLM-based AI copilots in disconnected mode
Empowering field engineers with SLM-based AI copilots in disconnected mode
Welcome to an era of Small Language Models
Chandan Srivastava
Apr 28
SLMs on edge: A classifier approach for function calling
SLMs on edge: A classifier approach for function calling
The game changed with transformer-based architectures such as Google’s BERT [3] in 2018 and OpenAI’s GPT [4], showcasing unprecedented…
Darshkodwani
Apr 23
Safety and security in agentic systems
Safety and security in agentic systems
Safety and security in agentic AI systems are critical due to their autonomous nature and evolving capabilities
Davidjonietz
Apr 21
Continuous improvement with agentic AI: Conducting a virtual gemba walk
Continuous improvement with agentic AI: Conducting a virtual gemba walk
Leveraging AI-driven multi-agent systems (DeepSeek, AutoGen, Ollama) to revolutionize process optimization, eliminate inefficiencies, and…
Mehul Jain
Apr 16
Comprehensive evaluation framework for LLM-generated content
Comprehensive evaluation framework for LLM-generated content
By Juhi Singh, Bonnie Ao, and Sebastian Antinome
Juhi Singh
Apr 14
Data currency: Gain the temporal edge in AI
Data currency: Gain the temporal edge in AI
In today’s hyper-connected digital era, where every millisecond can redefine markets and reshape industries, the concept of data currency…
Aparana Gupta
Apr 7
Optimizing prompt refinement: Algorithmic strategies for LLM-driven classification
Optimizing prompt refinement: Algorithmic strategies for LLM-driven classification
By Juhi Singh, Bonnie Ao, and Sebastian Antinome
Juhi Singh
Mar 31
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