Media & Press

Coverage of research, open-source projects, and technical contributions spanning AgentOps, InstructLab, LLM alignment, and agentic AI systems.

AgentOps & Agentic AI

What is AgentOps? - Comprehensive overview of IBM’s AgentOps platform for managing the full lifecycle of AI agents, from development to production deployment. IBM Think Topics
How to know if your AI agents are working as intended - Technical deep dive into AgentOps observability capabilities, including monitoring, evaluation, and debugging of agentic AI systems. IBM Research Blog
Agentic AI governance, evaluation and lifecycle - IBM’s approach to governing and evaluating agentic AI systems through structured frameworks and tooling. IBM Announcement
IBM Unveils Advancements Across Software and Infrastructure - Major product announcement including AgentOps capabilities for enterprise AI operationalization. IBM Newsroom, October 2025
AgentOps Tutorial: Monitor and Govern AI Agents with IBM Telemetry - Hands-on tutorial demonstrating how to use AgentOps with watsonx Orchestrate for agent monitoring and governance. IBM Think Tutorials
IBM expands agentic AI and infrastructure automation - Industry analysis of IBM’s AgentOps platform and broader agentic AI strategy. SiliconANGLE, October 2025
IBM release agentic AI tools, partners with Anthropic - Coverage of IBM’s agentic AI announcements and strategic partnerships in the agent ecosystem. AI Business

InstructLab

A new way to collaboratively customize LLMs - Official IBM Research announcement and technical overview of InstructLab, detailing the collaborative framework for LLM customization. IBM Research Blog, May 2024
InstructLab: Advancing generative AI through open source - Red Hat Developer’s introduction to InstructLab and its role in democratizing generative AI development. Red Hat Developer, May 2024
What is InstructLab? - Comprehensive overview of InstructLab capabilities, architecture, and use cases for enterprise LLM customization. Red Hat Topics
Democratizing LLM development with InstructLab in watsonx.ai - Announcement of InstructLab integration into IBM’s watsonx.ai platform, enabling accessible model development. IBM Announcement
How InstructLab enables accessible model fine-tuning - Technical deep dive into InstructLab’s fine-tuning approach and the LAB method for efficient alignment. Red Hat Developer, August 2024
InstructLab GitHub Repository - Open-source repository with full documentation, getting started guides, and community contributions. GitHub
InstructLab Official Website - Community hub with tutorials, documentation, and resources for getting started with InstructLab. InstructLab.ai
IBM and Red Hat Partner To Launch InstructLab - Industry coverage of the IBM-Red Hat partnership and InstructLab launch. CIO Tech Outlook
IBM throws its Red Hat into open source AI ring with RHEL AI - Analysis of Red Hat Enterprise Linux AI platform and InstructLab integration strategy. TechTarget

Research & Alignment

LAB: Large-Scale Alignment for ChatBots - Research paper introducing the LAB method powering InstructLab, enabling efficient large-scale alignment of language models. Senior author: Akash Srivastava. arXiv, March 2024
Researchers from IBM and MIT Introduce LAB - External press coverage analyzing the LAB method’s approach to scalable instruction tuning and alignment. MarkTechPost, March 2024
IBM Patents a Faster Method to Train LLMs - Coverage of LAB method patent application for enterprise LLM training. BigDataWire, April 2024
What is alignment in AI? - Comprehensive overview of LLM alignment techniques, challenges, and IBM Research’s approach to building aligned AI systems. IBM Research Blog
Synthetic training data for LLMs - Technical blog on synthetic data generation methods for model training, evaluation, and alignment. IBM Research Blog
Curiosity-Driven Red-Teaming for Large Language Models - Research on automated red-teaming approaches for evaluating robustness of agentic systems and language models. arXiv, February 2024
Dr. SoW: Density Ratio Methods for Preference Learning - Novel preference learning approach reducing annotation costs while improving alignment quality. arXiv, February 2024

Profiles & Resources

MIT-IBM Watson AI Lab Profile - Principal Investigator profile with lab affiliations and research overview. MIT-IBM Watson AI Lab
IBM Research Profile - Official IBM Research profile page with current projects and publications. IBM Research
LinkedIn - Professional profile with updates on AgentOps, InstructLab, and industry announcements. LinkedIn
Google Scholar - Complete publication list with citations and recent work on inference-time scaling, alignment, and agentic AI. Google Scholar

Last updated: February 2026