MIT’s new fine-tuning method lets LLMs learn new skills without losing old ones

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the Improbable AI Lab and ETH Zurich have developed a new technique that enables large language models to learn new skills and knowledge without forgetting their past […]

‘Observational memory’ cuts AI agent costs 10x and outscores RAG on long-context benchmarks

RAG isn’t always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those limitations are becoming harder to work around. In response, teams are experimenting with alternative memory architectures — sometimes called contextual memory or agentic memory — that prioritize […]

Is agentic AI ready to reshape Global Business Services?

Presented by EdgeVerve Before addressing Global Business Services (GBS), let’s take a step back. Can agentic AI, the type of AI able to take goal-driven action, transform not just GBS but any kind of enterprise? And has it done so yet? As with many new technologies, rhetoric has outpaced deployment in this case. While 2025 […]

What AI builders can learn from fraud models that run in 300 milliseconds

Fraud protection is a race against scale.  For instance, Mastercard’s network processes roughly 160 billion transactions a year, and experiences surges of 70,000 transactions a second during peak periods (like the December holiday rush). Finding the fraudulent purchases among those — without chasing false alarms — is an incredible task, which is why fraudsters have […]