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- Agentic AI Defined: Use Cases & Cogito Tech’s Data SolutionsByRicardo
The increasing role of foundational models in boosting AI agents has fueled the growth by simplifying multi-step tasks beyond traditional AI’s capabilities. Foundational models, such as large language models (LLMs), provide AI agents with advanced reasoning, planning, and language understanding capabilities. This enables agents to autonomously break down, interpret, and execute complex tasks that previously…
Data Labeling for LLMs: The Key to Safer and More Effective AI Models
ByRicardoHowever, despite their impressive human-like intelligence, they are far from infallible, often producing incorrect, misleading, or even harmful outputs. This necessitates human oversight to ensure their safety and reliability. This article explores the role of data labeling for LLMs and how it bridges the gap between the potential of Gen AI models and their reliability…
Turning structured data into ROI with genAI
ByRicardoAt GigaSpaces, we’ve been in the data management game for over twenty years. We specialize in mission-critical, real-time software solutions, and over the past two decades, we’ve seen just how essential structured data is, whether it resides in a traditional database, an Excel sheet, or a humble CSV file. Every company, regardless of its size…
Rethinking AI power efficiency with Vishal Sarin from Sagence AI
ByRicardoAt the Generative AI Summit Silicon Valley 2025, Vishal Sarin, Founder, President & CEO of Sagence AI, sat down with Tim Mitchell, Business Line Lead, Technology at the AI Accelerator Institute, to explore one of the most urgent challenges in generative AI: its staggering power demands. In this interview, Vishal shares insights from his talk…
The Art and Science of Fine-Tuning LLMs for Domain-Specific Excellence
ByRicardoKey advancements include in-context learning, which enables coherent text generation from prompts, and reinforcement learning from human feedback (RLHF), which fine-tunes models based on human responses. Techniques like prompt engineering have also enhanced LLM performance in tasks such as question answering and conversational interactions, marking a significant leap in natural language processing. Pre-trained language models…