Dayanand ShahExploring Parameter-Efficient Fine-Tuning (PEFT) in AI: A Deep Dive into LoRA and Its VariantsAs artificial intelligence (AI) continues to evolve, the need for efficient and cost-effective model training has become more critical than…Jun 11Jun 11
Dayanand ShahUnderstanding Different Types of LoRA in Large Language ModelsIn the rapidly evolving landscape of artificial intelligence and machine learning, Low-Rank Adaptation (LoRA) has emerged as a pivotal…Jun 3Jun 3
Dayanand ShahBuilding a Strong Foundation: Designing Institutions for Data Science SuccessIn today’s data-driven world, organizations increasingly turn to data science and machine learning to gain valuable insights, make informed…May 13May 13
Dayanand ShahData drift in Machine Learning: Understanding and Mitigating Its ImpactData drift is a common challenge that arises when deploying machine learning (ML) models in real-world scenarios. It refers to the…Mar 26, 2023Mar 26, 2023
Dayanand ShahConcept Drift in Machine Learning: Understanding and Mitigating Its ImpactConcept drift is a common problem in machine learning (ML) that occurs when the statistical properties of the target variable change over…Mar 23, 2023Mar 23, 2023
Dayanand ShahThe Art of Hiding Secret Messages in Images with Python SteganographyWhen it comes to secure communication, encryption is a common technique used to protect the confidentiality of messages. However…Mar 5, 2023Mar 5, 2023
Dayanand ShahCausal Inference in Data ScienceCausality refers to the relationship between cause and effect, where a change in one variable results in a change in another. In data…Feb 6, 2023Feb 6, 2023
Dayanand ShahExponential Moving Average and Implementation with PythonAn exponential moving average (EMA) is a type of moving average that gives more weight to recent data and less weight to older data.Jan 26, 20231Jan 26, 20231
