Category: Natural Language Processing
When OpenAI releases a new flagship model, the ripple effects are immediate. At Title AI, we’ve fielded question after question since GPT-5 launched: “Why aren’t my tried-and-true GPT-4o prompts working anymore?” “What’s actually different about GPT-5 prompting?” And, most importantly, “How do we adapt our AI strategy to get the best results from this new…
Google may have been caught off guard by ChatGPT’s explosive debut in 2022, but the tech giant is leveraging its unparalleled resources to not just catch up, but potentially pull ahead in the AI race. Here’s a deep dive into the competitive moats that create Google’s AI advantage in today’s rapidly evolving landscape. 1. The…
A Strategic Perspective for Healthcare Leaders and AI Developers Executive Summary The promise of generative AI in healthcare is immense, but so are the risks, particularly when large language models (LLMs) generate “hallucinations,” or plausible-sounding but incorrect information. In clinical settings, such errors can undermine trust, introduce safety hazards, and create regulatory exposure. Mayo Clinic…
Have you ever struggled to handle the messy, unpredictable outputs of large language models (LLMs)? Extracting precise data points from verbose, free-form text responses can feel like an endless cycle of parsing errors, data inconsistencies, and frustration. Imagine if there were a clean, reliable way to get structured information directly from your LLM responses —…
AI systems are getting smarter, but they’re also getting more interconnected. One of the most powerful developments in this space is the Model Context Protocol (MCP) — a standard that lets AI models interact with external tools through structured, schema-defined interfaces. MCP enables LLMs to perform tasks like querying databases, triggering workflows, or generating live…
The universal go-between for AI, data systems, and tool integration is here. The AI world moves fast, but amid the endless cycle of overblown nerd hype, one recent development is changing how organizations approach AI strategy. At the end of 2024, Anthropic created the Model Context Protocol (MCP), revolutionizing how companies connect AI assistants and…
Meta’s Llama 4 just dropped and it’s a huge step forward for open source LLMs With three powerful models, native multimodal support, and open access, Llama 4 shows that open source AI can match or even beat top proprietary systems. Key Takeaways Three Models, Three Strengths Llama 4 is a suite of three specialized models,…
In my last article, I tested the top vibe coding platforms by rebuilding one of my old projects, a clinical inbox triage tool. What once took weeks of work, I rebuilt in under 20 minutes using Replit. No manual coding or infrastructure needed. Just prompt, build, and deploy. That’s impressive tech. But the real story…
Vibe coding is taking the software engineering world by storm, letting you build entire apps without writing a single line of code. A single person can deliver an app in minutes from nothing but an idea. You describe what you want in natural language, and the tool handles the rest. Based on your prompts, it…
