Low-rank adaptation (LoRA)
Low-rank adaptation (LoRA) represents an innovative stride in enhancing the performance of large language models within artificial intelligence (AI). By focusing on efficiency and adaptability, LoRA s...
LLM guardrails
LLM guardrails play a crucial role in shaping how large language models operate within various applications, ensuring that they deliver safe and accurate responses while adhering to ethical standards....
Segment Anything Model (SAM)
The Segment Anything Model (SAM) represents a significant advancement in the field of image segmentation, leveraging deep learning to redefine how multiple objects can be identified and delineated in ...
In-context learning
In-context learning revolutionizes the educational landscape by customizing learning experiences based on individual circumstances. By recognizing that each learner operates within a unique set of con...
Density-based clustering
Density-based clustering stands out in the realm of data analysis, offering unique capabilities to identify natural groupings within complex datasets. Unlike traditional clustering methods that may st...
ANFIS
ANFIS, or Adaptive Neuro Fuzzy Inference System, stands at the intersection of two powerful computational paradigms: fuzzy logic and artificial neural networks. This unique combination enables ANFIS t...
Attention in machine learning
Attention in machine learning has rapidly evolved into a crucial component for enhancing the capabilities of AI systems. Its ability to refine model focus, akin to human cognitive attention, significa...
Model explainability in machine learning
Model explainability in machine learning is a pivotal aspect that affects not only the technology’s performance but also its acceptance in society. As machine learning algorithms become increasingly...
Amazon Bedrock
Amazon Bedrock offers a dynamic platform that accelerates the development of artificial intelligence applications by providing access to a variety of foundational models. These models help businesses ...
Grid search
Grid search is a powerful technique that plays a crucial role in optimizing machine learning models. By systematically exploring a set range of hyperparameters, grid search enables data scientists and...
