Learning is an evolving journey in the changing realm of technology. While traditional education holds significance, exploring approaches can deepen our understanding of technologies. One effective method is engineering, which not only unveils the inner workings of a product but also lays the groundwork for expanding our skills. Combining engineering and artificial intelligence (AI) can...
The winter season brings a sense of slowing down, if only for a moment. However, this doesn’t apply to AI. AI continues to captivate us with its capabilities and the potential for collaboration. With each innovation, I’ve contemplated the challenges and opportunities it presents to humans. After researching, I’ve gathered a few highlights from 2023...
Visualization Telling a story with data is an effective way to share information. I’ve spent years developing data stories with standard reporting tools as the only option. Visualizing information has become incredibly important today, especially when representing and analyzing relationships between entities and concepts. Knowledge graphs (KGs) capture these relationships through triples (s, p, o)...
Engineers are tasked with comprehending the layers of artificial intelligence (AI), including its strengths and limitations. Engineering plays a role in the development of AI as it is indispensable in harnessing its power. However, it’s essential to acknowledge and respect AI’s boundaries. Let’s consider some of AI’s characteristics, capabilities, and limitations that we are aware...
In my research, I have discovered a variety of LLMs. I am always fascinated by the complexity and capabilities of these models. I follow several startups, founders, researchers, and data scientists in this growing space. The role of research in AI is critical as they drive the progress and understanding of intelligence technologies. Researchers have...
Language models have witnessed remarkable advancements in various fields, empowering researchers to tackle complex problems with text-based data. However, a significant challenge in these models is effectively incorporating extensive new knowledge while maintaining performance. The conventional fine-tuning approach is resource-intensive, complex, and sometimes short of fully integrating new information. To overcome these limitations, researchers have...
A Large Language Model (LLM) is a computer program that has been extensively trained using a vast amount of written content from various sources such as the internet, books, and articles. Through this training, the LLM has developed an understanding of language closely resembling our comprehension. LLM can generate text that mimics writing styles. It...
What is the Digital Divide? It is the gap between individuals, communities, or countries regarding accessing and using information and communication technologies such as computers, the Internet, and mobile devices. This divide includes disparities in physical access to technology infrastructure and the skills, knowledge, and resources needed to use these technologies effectively. The term “digital...
The star behind AI is the data, an excellent incentive for me to take a closer look. Snowflake recently shared an announcement at a recent Annual Summit Conference. So when I come across anything or any company in this space that speaks to it, I must share that discovery here. Data management is at the...
Artificial Intelligence (AI) has revolutionized numerous industries, from healthcare to finance. At the heart of many AI applications lies the need to efficiently store, search, and analyze high-dimensional data representations called vectors. Vector databases have emerged as a critical component in the AI ecosystem, enabling seamless integration of AI models and empowering developers to tackle...