As 2025 comes to a close, I’m struck by a paradox: the AI industry has never been more capable—yet the discourse has never been more confused. The loudest debates right now center on…
Imagine the not-too-distant future where AI agents routinely negotiate on our behalf—personal assistants handling returns with retailers, procurement agents negotiating with suppliers, healthcare advocates coordinating with billing departments. Whether it’s a consumer’s personal…
What is FINDAP? The FINDAP Framework is a cutting-edge approach to fine-tune large language models (LLMs) specifically for the finance industry. While LLMs like ChatGPT or Bard are excellent general-purpose tools, specialized domains…
Large language models (LLMs) have become foundational to AI code understanding and generation, powering a wide range of enterprise AI workflows — from software synthesis to automated reasoning over symbolic sequences. Despite this…
In the world of AI agents that click, scroll, execute and automate — we’re moving fast from “just understand text” to “actually use software for you.” The new benchmark SCUBA tackles exactly that:…
Imagine an AI assistant that forgets your project requirements between Monday and Wednesday, or one that takes 30 seconds to recall a simple preference you mentioned yesterday. This is the reality of AI…
What Is Deep Research? Deep Research ≠ Deep Search. You may have come across “Deep Search” features in tools like ChatGPT or Claude — designed to enhance retrieval and concise answers. While Deep…
Large language model (LLM)-based software engineering (SWE-) agents have recently demonstrated remarkable progress on realistic software engineering tasks such as code review, bug fixing, and repository-level reasoning. Most SWE-agents start from a fresh…