AI in E-commerce helps businesses understand consumer preferences and profiles to tailor their offerings and marketing strategies effectively, thereby enhancing the shopping experience and increasing customer satisfaction and loyalty. By analyzing consumer behavior, preferences, and profiles, businesses can personalize their products and services, optimize their marketing campaigns, and improve overall operations, leading to increased sales and a competitive advantage. This understanding allows companies to not only meet but also anticipate customer needs, thereby fostering a stronger customer ..read more

The 7B showdown of LLMs: Mistral 7B vs Llama-2 7B ..read more

The Marvels of Generative AI: Key Concepts and Use Cases ..read more

LLM agents: Empowering language models from text to tasks ..read more

Elevate your content strategy: 8 game-changing AI tools of 2024 ..read more

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