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Concept-based learning (CBL) in machine learning emphasizes using high-level concepts from raw features for predictions, enhancing model interpretability and efficiency. A prominent type, the concept-based bottleneck…
We use EnergyMeter, a Python tool, to measure the energy consumption of different LLMs including Llama, Dolly, and BLOOMReplying to all those questions requires a lot…
Image by Editor | Midjourney & Canva In today’s data science landscape, how does one set themselves apart from the competition? Certifications in data science…
The field of research focuses on optimizing algorithms for training large language models (LLMs), which are essential for understanding and generating human language. These models are…
Image by Editor | Midjourney & Canva You can optimize Dockerfiles for faster build times by leveraging the build cache, reducing the build context, and…
Image by Author A lot of tech gurus and course sellers will tell you that you can become a job-ready data scientist in just two…
Multi-modal Large Language Models (MLLMs) have various applications in visual tasks. MLLMs rely on the visual features extracted from an image to understand its content. When…
In recent years, the field of artificial intelligence has witnessed significant advancements in image generation and enhancement techniques, as exemplified by models like Stable Diffusion, Dall-E,…
Developing a chatbot to answer questions about a JSON datasetImage via OpenAI and edited by AuthorI was recently provided a challenge: Develop a chatbot that can…
Smart cities are pinnacles of technological and environmental innovation. In the age of artificial intelligence (AI), smart tech and the Internet of Things (IoT) will become…