Search Results
35 results for “search”
AI Alignment
AI alignment is the field of research dedicated to ensuring that artificial intelligence systems pursue goals, values, and behaviours that are consistent with human intentions.
AI Benchmarking
The systematic evaluation of AI systems using standardised datasets, tasks, and metrics to measure capability, compare models, and track progress across research and deployment contexts.
AI in Malaysian Legal Industry
AI in Malaysia's legal industry encompasses the adoption of machine learning, natural language processing, and generative AI tools by law firms, the judiciary, and legal service providers to automate research, drafting, and compliance tasks.
AI Safety
AI safety is a field of research and practice concerned with the development of artificial intelligence systems that behave reliably, avoid harmful outputs, and remain aligned with human values, especially as systems become more capable.
AI Singapore
AI Singapore (AISG) is a national programme launched in 2017 to build Singapore's artificial intelligence ecosystem through research, talent development, and industry adoption, hosted by the National University of Singapore.
Anthropic
Anthropic is an American AI safety company and large language model developer founded in 2021 by former OpenAI researchers, best known for developing the Claude family of AI assistants and the Constitutional AI alignment technique.
AutoGen
AutoGen is an open-source multi-agent conversation framework developed by Microsoft Research that enables developers to build LLM applications where multiple AI agents communicate with each other to accomplish complex tasks collaboratively.
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.
BM25
BM25 (Best Matching 25) is a probabilistic ranking function used in information retrieval that scores documents based on query term frequency, inverse document frequency, and document length normalisation.
Cyberjaya
A planned technology city in Selangor, Malaysia, forming the nucleus of the Multimedia Super Corridor and home to MDEC, AI research initiatives, and a growing cluster of AI-ready data centres.
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.
Embedding
An embedding is a dense numerical vector representation of data — such as text, images, or audio — that encodes semantic meaning in a continuous high-dimensional space, enabling machine learning models to measure similarity and relationships.
ERNIE Bot
A large language model and conversational AI assistant developed by Baidu, built on the ERNIE (Enhanced Representation through Knowledge Integration) foundation model series and integrated across Baidu's search, cloud, and enterprise platforms.
FAISS
FAISS (Facebook AI Similarity Search) is an open-source library developed by Meta AI for efficient similarity search and clustering of dense vectors at scale, enabling fast nearest-neighbour retrieval across millions or billions of embeddings.
Falcon LLM
A family of open-weight large language models developed by the Technology Innovation Institute (TII) in Abu Dhabi, released under permissive licenses and used widely across enterprise and research applications.
Google DeepMind
Google DeepMind is an AI research laboratory owned by Alphabet Inc., formed in 2023 by the merger of Google Brain and DeepMind, and responsible for developing foundational AI systems including the Gemini family of models, AlphaFold, and AlphaGo.
Hybrid Search
Hybrid search is a retrieval technique that combines sparse keyword-based search (typically BM25) with dense vector semantic search to achieve superior recall and precision over either method alone.
Hyperparameter Tuning
The process of selecting optimal configuration values for a machine learning model's external parameters using methods such as grid search, random search, and Bayesian optimisation.
Llama
Llama is a family of open-weight large language models developed by Meta AI, released under a permissive licence that allows researchers and developers to freely download, fine-tune, and deploy the models for both research and commercial use.
Malaysia AI Talent
Malaysia AI talent refers to the workforce of AI engineers, data scientists, ML practitioners, and researchers in Malaysia, along with the government and industry initiatives aimed at developing and attracting AI expertise to meet the demands of the digital economy.
Meta AI
Meta AI is the artificial intelligence research division and product brand of Meta Platforms, responsible for the Llama family of open-weight language models and integrated AI assistants across Facebook, Instagram, WhatsApp, and Messenger.
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.
Neural Architecture Search
Neural architecture search is the automated design of neural network architectures using search algorithms, reinforcement learning, or gradient-based methods to discover models that meet target accuracy, latency, and size constraints.
Ollama
Ollama is an open-source runtime that enables developers and researchers to download, run, and manage large language models locally on consumer hardware without cloud API dependencies.
OpenAI
An American artificial intelligence research organisation and technology company, founded in 2015, known for developing the GPT series of language models and the ChatGPT conversational AI platform.
Perplexity AI
Perplexity AI is an American AI company that operates an answer engine combining real-time web search with large language model synthesis, providing cited, conversational responses to user queries.
Phi (Language Model)
A family of small language models developed by Microsoft Research that demonstrate strong reasoning and instruction-following at parameter counts an order of magnitude smaller than typical frontier models.
Pinecone
Pinecone is a managed, cloud-native vector database designed for storing high-dimensional embeddings and serving low-latency similarity search for retrieval-augmented AI applications.
Qdrant
An open-source, Rust-based vector database and similarity search engine designed for high-performance storage and retrieval of high-dimensional embeddings, with support for hybrid search and multitenant deployments.
Reranking
Reranking is a two-stage information retrieval technique in which a fast first-stage retriever generates candidate documents, and a more accurate but computationally expensive model re-scores and reorders them.
Residual Network
A deep convolutional neural network architecture introduced by Microsoft Research in 2015 that uses skip connections to enable training of very deep networks, winning the ImageNet challenge with a top-5 error rate of 3.57%.
Semantic Search
Semantic search is a search paradigm that retrieves results based on the meaning and intent of a query rather than exact keyword matches, using vector embeddings to measure conceptual similarity between text.
Sentence Transformers
Sentence Transformers are neural network models that encode sentences, paragraphs, or short documents into fixed-length dense vector embeddings optimised for semantic similarity comparison.
Vector Database
A specialised database system that stores data as high-dimensional numerical vectors and enables fast approximate nearest-neighbour search, forming the retrieval backbone of semantic search and RAG systems.
Weaviate
An open-source, cloud-native vector database that combines vector similarity search with structured filtering, GraphQL APIs, and built-in vectorisation for AI applications.