Have you ever asked generative AI the same question twice – only to get two very different answers? That inconsistency can be frustrating, especially when you’re building systems meant to serve real users in high-stakes industries like finance, healthcare, or law. It’s a reminder that while foundation models are incredibly powerful, they’re far from perfect….
At 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…
Organizations are adopting large language models (LLMs), such as DeepSeek R1, to transform business processes, enhance customer experiences, and drive innovation at unprecedented speed. However, standalone LLMs have key limitations such as hallucinations, outdated knowledge, and no access to proprietary data. Retrieval Augmented Generation (RAG) addresses these gaps by combining semantic search with generative AI,…
Key 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…
The AI revolution is racing beyond chatbots to autonomous agents that act, decide, and interface with internal systems. Unlike traditional software, AI agents can be manipulated through language, making them vulnerable to attacks like prompt injection and they also introduce new security risks like excessive agency. Join us for an exclusive deep dive with Sourabh…
At 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…
Catch up on every session from the AIAI Silicon Valley with sessions across 3 co-located summit featuring the likes of Anthropic, Open AI, Meta and many more.
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…