Search Results
39 results for “NER”
AI Planning
AI planning is the discipline of automatically generating a sequence of actions that an intelligent agent can execute to move from an initial state to a goal, increasingly used inside LLM-based agents to decompose and reason about complex tasks.
Amazon Bedrock
Amazon Bedrock is a fully managed AWS service that provides enterprise-grade access to over 100 foundation models from leading AI providers through a unified API, enabling organisations to build, customise, and scale generative AI applications without managing infrastructure.
AutoML
AutoML (Automated Machine Learning) is the process of automating the selection, composition, and tuning of machine learning algorithms and pipelines, enabling practitioners to build effective models with reduced manual effort.
Chain-of-Thought Prompting
A prompt engineering technique that improves large language model reasoning on complex tasks by instructing the model to generate explicit intermediate reasoning steps before arriving at a final answer.
Code Generation
AI code generation is the use of large language models to automatically produce, complete, or transform source code from natural language descriptions, enabling assisted and autonomous software development.
CUDA
NVIDIA's parallel computing platform and programming model that lets developers use GPUs for general-purpose computation, underpinning most modern deep learning frameworks.
DALL-E
DALL-E is a series of text-to-image generative AI models developed by OpenAI that create photorealistic and artistic images from natural language prompts using diffusion and language-vision alignment techniques.
Data Augmentation
A set of techniques that expand a training dataset by creating modified copies of existing examples, helping deep learning models generalise better and reducing overfitting.
DataRobot
An American enterprise AI platform company that provides automated machine learning, model deployment, monitoring, and generative AI tools, headquartered in Boston, Massachusetts.
Diffusion Model
A class of generative AI models that learn to reverse a gradual noise-addition process, enabling the generation of high-quality images, audio, and video from random noise guided by text or other conditioning signals.
Dropout
A regularisation technique in deep learning that randomly deactivates neurons during training, preventing co-adaptation and improving generalisation. Introduced by Hinton and colleagues in 2012 and formalised in 2014.
ElevenLabs
ElevenLabs is an AI audio research and deployment company founded in 2022 that develops text-to-speech, voice cloning, dubbing, and conversational voice agent technologies based on proprietary deep learning models.
Encoder-Decoder Architecture
A neural network design pattern that compresses an input sequence into an internal representation using an encoder, and then generates an output sequence from that representation using a decoder, foundational to machine translation, summarisation, and many other sequence-to-sequence tasks.
Gemini
Gemini is a family of multimodal large language models developed by Google DeepMind, designed to natively process and generate text, code, images, audio, and video across a range of model sizes.
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.
Generative AI
Generative AI refers to artificial intelligence systems capable of producing new content — text, images, audio, video, or code — by learning the underlying distribution of training data.
Hallucination (AI)
A phenomenon in which an artificial intelligence system generates output that is factually incorrect, fabricated, or unsupported by its input, while presenting it with apparent confidence.
Inference (Machine Learning)
Inference is the phase in which a trained machine learning model is used to generate predictions or outputs from new input data, distinct from the earlier training phase.
Kling AI
A family of generative AI video models developed by Kuaishou Technology in China, capable of producing photorealistic short-form video with synchronised audio from text or image prompts.
Large Language Models
Large language models (LLMs) are AI systems trained on vast corpora of text to predict and generate natural language. They underpin modern chatbots, code assistants, and generative AI applications.
Midjourney
An independent AI research lab and image generation service that produces images and video from natural-language text prompts, accessible primarily through Discord and a web application.
Multimodal AI
Artificial intelligence systems that can process, understand, and generate information across multiple data types simultaneously, including text, images, audio, video, and other modalities.
Named Entity Recognition
Named entity recognition (NER) is a natural language processing task that identifies and classifies named entities in text — such as people, organisations, locations, and dates — into predefined categories.
National AI Roadmap Malaysia (AI-RMAP 2021–2025)
Malaysia's first comprehensive national strategy for artificial intelligence, adopted in December 2021 and led by MOSTI with MDEC as implementation partner, aiming to position Malaysia among the top 20 nations in AI government readiness by 2025.
Natural Language Processing
Natural language processing (NLP) is the subfield of AI concerned with enabling computers to understand, interpret, manipulate, and generate human language in both text and speech form.
Pika Labs
A United States-based artificial intelligence startup founded in 2023 that develops the Pika text-to-video and image-to-video generation models, competing with Runway and OpenAI's Sora in the AI video generation market.
Regularisation (Machine Learning)
Regularisation is a collection of techniques in machine learning that constrain models during training to reduce overfitting and improve generalisation to unseen data.
Retrieval-Augmented Generation
A technique that enhances large language model outputs by retrieving relevant documents from an external knowledge base at inference time, grounding responses in up-to-date and domain-specific information.
Runway ML
Runway is a generative artificial intelligence company that develops video generation and editing models, best known for its Gen-series text-to-video systems used in filmmaking and content creation.
Salesforce Einstein
Salesforce Einstein is an integrated artificial intelligence platform embedded across the Salesforce CRM ecosystem, providing predictive analytics, generative AI, and autonomous agents for sales, service, marketing, and commerce workflows.
ServiceNow AI
ServiceNow AI is the artificial intelligence layer embedded in the ServiceNow platform, providing predictive analytics, generative AI, and autonomous agents for IT service management, enterprise workflow automation, and cross-functional business operations.
Sora
Sora is a text-to-video generative AI model developed by OpenAI that produces short, high-fidelity video clips with synchronised audio from natural-language prompts.
Stability AI
A British artificial intelligence company best known for developing and releasing Stable Diffusion, an open-weight text-to-image generative model, and a family of related image, video, audio, and 3D models.
Stable Diffusion
Stable Diffusion is an open-source latent diffusion model developed by Stability AI that generates high-quality images from text prompts, running efficiently on consumer-grade hardware.
Synthetic Data
Synthetic data is artificially generated data that mimics the statistical properties of real datasets, created using generative AI or simulations to train machine learning models without exposing sensitive personal information.
Tool Use
Tool use in AI refers to the capability of language models to invoke external functions, APIs, or services to retrieve information, perform actions, or extend their abilities beyond text generation.
Variational Autoencoder
A variational autoencoder is a generative neural network that learns a probabilistic latent representation of data, enabling smooth sampling and reconstruction of new examples.
Weights and Biases
Weights and Biases (W&B) is a machine learning developer platform for experiment tracking, model versioning, dataset management, and collaborative model evaluation used by over 200,000 ML practitioners worldwide.
Zero-Shot Learning
Zero-shot learning is a machine learning paradigm in which a model makes accurate predictions on categories it has never seen during training by leveraging semantic descriptions or attribute representations.