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13 results for “framework”
AI in Malaysian Banking
An overview of artificial intelligence adoption in Malaysian banks, covering fraud detection, customer service automation, credit decisioning, and the regulatory framework set by Bank Negara Malaysia.
ASEAN AI Governance
ASEAN AI governance refers to the regional frameworks, guidelines, and policy initiatives adopted by Southeast Asian nations to promote responsible, trustworthy, and interoperable artificial intelligence development and deployment.
Bayesian Inference
Bayesian inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as new evidence becomes available, providing a principled framework for reasoning under uncertainty.
Core ML
Core ML is Apple's on-device machine learning framework that enables iOS, macOS, watchOS, and tvOS applications to integrate pre-trained models for tasks including image classification, natural language processing, and sound analysis.
CUDA
NVIDIA's parallel computing platform and programming model that lets developers use GPUs for general-purpose computation, underpinning most modern deep learning frameworks.
Generative Adversarial Network
A generative adversarial network (GAN) is a class of machine learning framework in which two neural networks, a generator and a discriminator, compete against each other to produce synthetic data indistinguishable from real examples.
LangChain
LangChain is an open-source framework for building applications powered by large language models, providing composable abstractions for chaining LLM calls with tools, memory, and data retrieval in Python and JavaScript.
LlamaIndex
LlamaIndex is an open-source Python and TypeScript framework for building retrieval-augmented and agentic AI applications over private data sources.
Malaysia AI Governance Framework
The Malaysia AI Governance Framework is a national set of guidelines, standards, and forthcoming legislation that defines responsible AI development and deployment in Malaysia.
Markov Decision Process
A Markov decision process is a mathematical framework for modelling sequential decision-making in which outcomes are partly random and partly under the control of a decision-maker.
ONNX (Open Neural Network Exchange)
An open standard format for representing machine learning models that enables interoperability between deep learning frameworks, runtimes, and hardware platforms.
OpenVINO
OpenVINO is an open-source toolkit developed by Intel for optimising and deploying deep learning inference across Intel hardware, including CPUs, GPUs, Neural Processing Units, and FPGAs, with broad support for major AI frameworks and model formats.
TensorFlow Lite
TensorFlow Lite is an open-source deep learning framework from Google for running optimised machine learning models on mobile phones, microcontrollers, and other edge devices.