Knowledge graphs and LLMs are the building blocks of the most recent advancements happening in the world of artificial intelligence (AI). Combining knowledge graphs (KGs) and LLMs produces a system that has access to a vast network of factual information and can understand complex language. The system has the potential to use this accessibility to answer questions, generate textual outputs, and engage with other NLP tasks. This blog aims to explore the potential of integrating knowledge graphs and LLMs, navigating through the promise of revolutionizing AI. Before we understand the impact and m ..read more

In the rapidly growing digital world, AI advancement is driving the transformation toward improved automation, better personalization, and smarter devices. In this evolving AI landscape, every country is striving to make the next big breakthrough. In this blog, we will explore the global progress of artificial intelligence, highlighting the leading countries of AI advancement in 2024. Top 9 countries leading AI development in 2024 Leaders in AI advancement for 2024 Let’s look at the leading 9 countries that are a hub for AI advancement in 2024, exploring their contribution and efforts to excel ..read more

Large Language Models are growing smarter, transforming how we interact with technology. Yet, they stumble over a significant quality i.e. . Often, they provide unreliable information or guess answers to questions they don’t understand—guesses that can be completely wrong. This issue is a major concern for enterprises looking to leverage LLMs. How do we tackle this problem? Retrieval Augmented Generation ( ) offers a viable solution, enabling LLMs to access up-to-date, relevant information, and significantly improving their responses. Tune in to our podcast and dive deep into RAG, fine-tuning ..read more

From learning to machine unlearning: Taking Generative AI a step ahead ..read more

AGI (Artificial General Intelligence) refers to a higher level of AI that exhibits intelligence and capabilities on par with or surpassing human intelligence. AGI systems can perform a wide range of tasks across different domains, including reasoning, planning, learning from experience, and understanding natural language. Unlike narrow AI systems that are designed for specific tasks, AGI systems possess general intelligence and can adapt to new and unfamiliar situations.  While there have been no definitive examples of artificial general intelligence (AGI) to date, a recent paper by  ..read more

Vision Language Models: Introducing the new tiny VLM Moondream 2 ..read more

Master prompt engineering: Proven strategies and hands-on examples ..read more

10 highest-paying AI jobs and careers in 2024 ..read more

The LLM context window paradox: Is bigger always better ..read more

In today’s rapidly evolving technological world, the economic potential of generative AI and other cutting-edge industrial developments is more pronounced than ever before. AI and the chip industry are pivotal in modern-day innovations and growth. It is important to navigate the impact and economic potential of generative AI in the chip design industry as it maps out the technological progress and innovation in the digital world. The economic insights can highlight new investment avenues by informing policymakers and business leaders of the changing economic landscape timely. , generative AI i ..read more