History and Future of LLMs
LLMs are marvels of modern technology. They’re complex in their function, massive in size, and enable groundbreaking advancements. Go over the history and future of LLMs.
LLMs are marvels of modern technology. They’re complex in their function, massive in size, and enable groundbreaking advancements. Go over the history and future of LLMs.
In today’s digitized environment, the importance of data analytics as a tool for informed decision-making and strategic planning is paramount. From large corporations to parts… Read More »Exploring cutting-edge data analytics technology
Credit card fraud is a growing problem that affects millions worldwide and costs businesses billions of dollars every year. As fraudsters become more sophisticated, traditional… Read More »How machine learning detects credit card fraud
Managing patient data is a massive challenge in healthcare due to the large amounts of information involved. Reverse ETL is a modern data integration method… Read More »Reverse ETL in healthcare: Enhancing patient data management
The current fascination with Generative AI (GenAI) – especially as manifested by OpenAI’s ChatGPT – has raised public awareness of Artificial Intelligence (AI) and its… Read More »Synergy of Generative, Analytical, Causal, and Autonomous AI
Data governance, which encompasses the policies, standards, and procedures that ensure the proper management of data throughout its lifecycle, is essential for maintaining data quality,… Read More »Enhancing data governance with AI: From theory to practice
Today businesses increasingly rely on data-driven insights for strategic decisions, making data analysts hold the critical responsibility of scrutinizing and interpreting complex data sets to… Read More »How a data analyst career can be stressful
Retrieval Augmented Generation (RAG) is becoming a platform in its own right. In this and the following post, we explore the foundations and more importantly,… Read More »RAG and its evolution
Mixture of Experts (MoE) architecture is defined by a mix or blend of different “expert” models working together to complete a specific problem.