Shelf Blog
Get weekly updates on best practices, trends, and news surrounding knowledge management, AI and customer service innovation.
Seamlessly Link Structured and Unstructured Data with a Knowledge Graph
A knowledge graph is a structure that connects diverse pieces of information, helping you uncover relationships and insights that might not be immediately apparent. In some cases, you need to bridge two types of data together: structured and unstructured data. In this article, we provide a clear,...
5-Point RAG Strategy Guide to Prevent Hallucinations & Bad Answers This guide designed to help teams working on GenAI Initiatives gives you five actionable strategies for RAG pipelines that will improve answer quality and prevent hallucinations.
Contemplative AI, (In)Stability AI, AI Antibodies, and More
Augmented Shelf | Issue 3 | March 26, 2024 Welcome to Augmented Shelf, a wrap-up of the week’s AI news, trends and research that are forging the future of work. Enterprises Quintuple-Down on GenAI in 2024 New research from a16z punctuates the enterprise sector’s growing bet on...
Data Mesh or Data Fabric? Choosing the Right Data Architecture
Data mesh and data fabric are two architectural paradigms that are shaping the future of data management and analytics. At their core, both aim to address the complexities of handling vast and diverse data in modern organizations, but they approach the challenge from different angles. In this...
Master the Prompt: 7 Contrasts Between Zero-Shot and Few-Shot Prompting
Whenever you interact with a large language model (LLM), the model’s output is only as good as your input. If you offer the AI a poor prompt, you’ll limit the quality of its response. So it’s important to understand zero-shot and few-shot prompting as you can use these techniques to get better...
Evil Geniuses Attack, The LLM Forgettery, Character Consistency and More
Augmented Shelf | Issue 2 | March 19, 2024 Welcome to Augmented Shelf, a wrap-up of the week’s AI news, trends and research that are forging the future of work. Evil Geniuses Vs. ChatDev To evaluate the vulnerability of LLM-based agents, researchers at Tsinghua University in Beijing, China, have...
Forget LLM Memory – Why LLMs Need Adaptive Forgetting
Large Language Models (LLMs) rely on extensive memory to store and manipulate vast datasets, a key factor that allows them to learn from past inputs and improve their linguistic abilities over time. But what if, alongside remembering, LLMs could also benefit from adaptive forgetting? The notion of...
Pick the Best Conversational AI Platform: A Straightforward Guide
Whether it’s through text-based chatbots on a website or voice-activated assistants in our homes and smartphones, conversational AI is becoming an integral part of our daily lives. By simulating human-like conversations, these advanced AI systems are breaking down the barriers between...
Self Aware LLMs, Election AI-ffliction, India’s AI Reckoning and More
Welcome to Augmented Shelf, a wrap-up of the week’s AI news, trends and research that are forging the future of work. Is Claude 3 Opus Self-Aware? In a remarkable display of potential self-awareness, Anthropic’s newly released Claude 3 Opus AI showcased an unexpected response during an...
Can AI Governance Frameworks Protect You from GenAI’s Risks?
Artificial intelligence is changing technology in groundbreaking ways, affecting everything from business to daily life. However, this rapid advancement brings up significant ethical, legal, and societal concerns, highlighting the urgent need for effective AI governance frameworks. To ensure AI...
The Panoramic Guide to Diffusion Models in Machine Learning
Diffusion models for machine learning are cutting-edge technologies that are reshaping how we leverage artificial intelligence. They excel at generating and transforming data in ways we once thought were exclusive to human creativity. Imagine an artist starting with a blank canvas, gradually...
Ethical AI Uncovered: 10 Fundamental Pillars of AI Transparency
Artificial intelligence (AI) is a transformative force, reshaping industries, revolutionizing how we interact with the world, and redefining the boundaries of what machines can do. As AI systems increasingly make decisions that affect our lives, the call for AI transparency has never been louder...