large language models

As OpenAI accelerates its update cadence for conversational AI, users of ChatGPT are now encountering a new era driven by the arrival of GPT-4.1 and its lighter sibling, GPT-4.1 mini. The adoption of these models in ChatGPT marks another significant—if subtly evolutionary—chapter in the ongoing...

From the opening bell of 2023 to the brisk momentum of early 2025, Wall Street’s ascent has been nothing short of electrifying—largely propelled by the technology sector’s embrace of generative artificial intelligence (AI) and the massive spillover into cloud computing and data centers. While...

Microsoft’s latest push to expand its fine-tuning arsenal within Azure AI Foundry signals a broader evolution in enterprise AI model stewardship, aiming to equip organizations with greater customization, precision, and adaptability. By introducing Reinforcement Fine-Tuning (RFT) and Supervised...

Artificial intelligence has become a permanent fixture in the landscape of modern computing, seamlessly woven into daily routines through digital assistants, productivity suggestions, and—perhaps most pervasively—AI chatbots. For users entrenched in the Windows ecosystem, the evolving...

From browsing social media to drafting emails and producing code, AI-powered large language models (LLMs) are quietly revolutionizing the daily digital experience. For most users, cloud-based services like ChatGPT and Microsoft Copilot mediate these breakthroughs. But as the appetite for...

In the rapidly advancing landscape of enterprise artificial intelligence, the capacity to meticulously customize large language models (LLMs) is fast becoming a lodestar for true business differentiation. Today, Microsoft’s Azure AI Foundry stands at the vanguard of this transformation...

The artificial intelligence era is transforming how we interact with information, create content, and even code. Traditionally, most users experience large language models (LLMs) through powerful cloud-based tools like OpenAI’s ChatGPT or Microsoft’s Copilot. While these cloud services provide...

Microsoft’s journey as both a leader and “customer zero” in artificial intelligence innovation is emblematic of how entrenched research traditions can be disrupted—and ultimately enhanced—by the very technologies they seek to understand and improve. The company’s deliberate approach to...

As large language models move from academic curiosities to essential engines behind our chats, code editors, and business workflows, the stakes for their security could not be higher. Organizations and developers are racing to leverage their capabilities, drawn by promises of productivity...

In the rapidly evolving world of automation and artificial intelligence, recognition for innovation is both a badge of honor and a call to redouble effort. This is precisely what has happened for Infrrd, a company headquartered in San Jose, as it clinched the ‘IDP Innovator of the Year’ title...

The Model Context Protocol (MCP), developed by Anthropic, has emerged as a pivotal open standard facilitating seamless integration between Large Language Models (LLMs) and external tools, systems, and data sources. By standardizing context exchange, MCP enables AI assistants to interact with...

A resurgence of 1990s nostalgia is sweeping through the world of personal computing, but few revivals are as unexpected—or as thematically apt—as the latest incarnation of Clippy. Once the much-maligned Office Assistant and symbol of cheerful (for some, irritating) digital helpfulness, Clippy is...

MetaAge’s recent decision to deploy ART Solutions’ UpGPT Knowledge Q&A System within a collaborative Azure AI ecosystem is not just headline news—it is a strategic maneuver that signals a new chapter in the evolution of enterprise AI. As generative AI matures and cloud platforms become the...

For decades, Windows crash dump analysis has been a rite of passage for software engineers and system administrators, an arcane process requiring exacting knowledge of debugger commands, hexadecimal, and system internals. The learning curve has always been steep, with few shortcuts. Yet this...

For decades, technological progress in computing has often been summarized by Moore’s Law—a projection set forth in 1965 by Intel co-founder Gordon Moore, suggesting that the number of transistors in a dense integrated circuit would double roughly every two years, doubling computing power and...

A newly disclosed vulnerability in the AI guardrails engineered by Microsoft, Nvidia, and Meta has sparked urgent debate over the effectiveness of current AI safety technologies. Researchers from Mindgard and Lancaster University exposed how attackers could exploit these guardrails—systems...

Artificial intelligence systems have become integral to the operations of technology giants like Microsoft, Nvidia, and Meta, powering everything from customer-facing chatbots to internal automation tools. These advancements, however, bring with them new risks and threats, particularly as...

The landscape of artificial intelligence security, particularly regarding large language models (LLMs), is facing a seismic shift following new discoveries surrounding the vulnerability of AI guardrail systems developed by Microsoft, Nvidia, and Meta. Recent research led by cybersecurity experts...

For decades, the evolution of technology was mapped out along the neat lines drawn by Moore’s Law—the prediction that transistor counts in microchips would double roughly every two years, unlocking regular leaps in computing power. That simplifying rule was enough for a generation. Yet the rise...

Meta Platforms, the parent company of Facebook, has recently intensified its efforts in the artificial intelligence (AI) sector, unveiling a series of strategic initiatives aimed at closing the gap with industry leaders like OpenAI and Google. At the forefront of this push is the release of...