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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...
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.
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...
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...
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...
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...
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 LearningDiffusion 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...
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...
Artificial intelligence engines need data to learn and operate, but the data you and I find meaningful is foreign to machines. Machines need data translated to their preferred language: math. This conversion happens with the help of vectors. What are vectors in machine learning? Vectors are...
Synthetic data is artificially generated data that imitates real-world data without using actual information. It is generated through algorithms and statistical techniques to capture the same patterns and characteristics found in real data. Instead of relying on sensitive or private data,...
Businesses face an overwhelming amount of data rich with insights to unlock. Traditional keyword-based searches have long been the go-to method for wading through this informational deluge, but as the complexity and volume of data expand, the inefficiencies of such systems become more apparent....