Jɛɲɔgɔnya (Alignment)
Alignment
AI sistɛmu ka laɲiniw, bɔli, ani jɛɲɔgɔnya ka kɛɲɛ ni mɔgɔ ka laɲiniw ani sɔngɔw ye. O bɛ kɛrɛnkɛrɛnnenya la sistɛmu kɛrɛnkɛrɛnnenw na minnu bɛ se ka jɛɲɔgɔnya kɛ minnu ma kɛɲɛ ni laɲini ye.
Misali: Chatbot dɔ ka dɛmɛni ka kɛɲɛ ni hakili sɔrɔli ye, o bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni laɲini ye.
Application Programming Interface (API) (Application Programming Interface (API))
Application Programming Interface (API)
Sariya kɛrɛnkɛrɛnnenw ani protokoliw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: OpenAI API ka baara kɛ walasa ka kumaɲɔgɔnna fɔli kɛ ani ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw sɔrɔ i ka web app na.
Artificial General Intelligence (AGI) (Artificial General Intelligence (AGI))
Artificial General Intelligence (AGI)
AI ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni mɔgɔ ka miiriw ye. O bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni mɔgɔ ka miiriw ye.
Misali: AGI sistɛmu dɔ bɛ se ka dɔnkilidala kalanni kɛ, ka baara kɛ, ani ka filozofi ka egzamen kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Artificial Intelligence (AI) (Artificial Intelligence (AI))
Artificial Intelligence (AI)
Mɔgɔ ka miiriw ka jigi masinaw na minnu bɛ se ka miiri, ka miiri, ani ka baara kɛ ni yɛrɛmahɔrɔnya ye.
Misali: AI bɛ se ka dɛmɛni kɛ ni Siri ye ani ka yɛrɛmahɔrɔnya ka baara kɛ ni Tesla Autopilot ye.
AI ka sariya (AI Ethics)
AI Ethics
AI ka dabali ani baara ka sariya ka miiriw, minnu bɛ se ka kɛ ni sariya, siratigɛ, baara, ani kɛrɛnkɛrɛnnenw ye.
Misali: Sariya kɛrɛnkɛrɛnnenw dabali walasa ka baara kɛ ni sariya ye minnu bɛ se ka kɛ ni jɛɲɔgɔnya ye.
Augmented Intelligence (Augmented Intelligence)
Augmented Intelligence
Jɛɲɔgɔnya ka modɛli min bɛ AI ka dɛmɛni kɛ ani ka mɔgɔ ka miiriw dɛmɛ, o bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: AI-powered radiology tools minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Autonomous Agent (Autonomous Agent)
Autonomous Agent
AI sistɛmu dɔ min bɛ se ka yɛrɛmahɔrɔnya ka desizɔnw kɛ ani ka baara kɛ walasa ka laɲiniw sɔrɔ ni mɔgɔ ka dɛmɛ ye.
Misali: Yɛrɛmahɔrɔnya ka delivɛri robɔti min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Backpropagation (Backpropagation)
Backpropagation
Neural networks ka kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Bias (Algorithmic Bias) (Bias (Algorithmic Bias))
Bias (Algorithmic Bias)
AI ka bɔli ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Mɔgɔ ka jigi ka sistɛmu min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Big Data (Big Data)
Big Data
Data kɛrɛnkɛrɛnnenw minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Black Box Model (Black Box Model)
Black Box Model
AI ka modɛli dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Deep neural network dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Cognitive Computing (Cognitive Computing)
Cognitive Computing
AI sistɛmuw minnu bɛ se ka kɛ ni mɔgɔ ka miiriw ye, i n’a fɔ miiri ani kalanni, o bɛ se ka kɛ ni NLP ani patɛrɛni ka jigi ye.
Misali: Cognitive computing sistɛmu dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Computer Vision (Computer Vision)
Computer Vision
AI ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni masinaw ye minnu bɛ se ka kɛ ni jigi ye.
Misali: Mɔgɔ ka jigi ka sistɛmu min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Corpus (Corpus)
Corpus
Kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Common Crawl dataset ye web corpus kɛrɛnkɛrɛnnenw ye min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Data Drift (Data Drift)
Data Drift
Data ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Predictive maintenance model dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Data Labelling (Data Labelling)
Data Labelling
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Labelling thousands of tumour images as benign or malignant to train a cancer detection model.
Data Mining (Data Mining)
Data Mining
Data ka ɲini kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Retailers using data mining to identify that people who buy nappies often buy beer as well.
Deep Learning (Deep Learning)
Deep Learning
Masin-kalanni ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Deep learning is used in language models like GPT-4 and image generation models like Stable Diffusion.
Diffusion Models (Diffusion Models)
Diffusion Models
Generative models ka klasɛ dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Stable Diffusion creates photorealistic images from text prompts using diffusion techniques.
Embedding (Embedding)
Embedding
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: In NLP, the word 'bank' may have similar embeddings to 'money' but different from 'riverbank' depending on context.
Epoch (Epoch)
Epoch
Masin-kalanni ka modɛli ka kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: If a dataset has 1,000 examples and a model sees all of them once during training, that's one epoch.
Ethical AI (Ethical AI)
Ethical AI
AI ka dabali ani baara ka filozofi min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: An AI hiring tool that includes bias checks to prevent discrimination against minority candidates.
Expert System (Expert System)
Expert System
AI sistɛmu dɔ min bɛ se ka kɛ ni mɔgɔ ka miiriw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: An expert system used in agriculture to recommend crop treatments based on soil data and pest history.
Explainable AI (XAI) (Explainable AI (XAI))
Explainable AI (XAI)
AI sistɛmuw minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A medical diagnostic AI that not only provides a recommendation but also explains which symptoms led to that conclusion.
Few-shot Learning (Few-shot Learning)
Few-shot Learning
Masin-kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Customising an LLM to write legal emails after showing it just 10 examples.
Fine-tuning (Fine-tuning)
Fine-tuning
Pre-trained model ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Fine-tuning a general LLM like GPT on internal legal documents to create a legal drafting assistant.
Foundation Model (Foundation Model)
Foundation Model
Modɛli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: GPT-4 and PaLM 2 are foundation models capable of summarisation, Q&A, translation, and more.
Fuzzy Logic (Fuzzy Logic)
Fuzzy Logic
Logiki ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Used in climate control systems to adjust temperature based on fuzzy inputs like 'a bit hot' or 'very cold'.
Generative Adversarial Network (GAN) (Generative Adversarial Network (GAN))
Generative Adversarial Network (GAN)
Generative model architecture dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: GANs are used to create deepfake videos or generate realistic product photos from sketches.
Generative AI (Generative AI)
Generative AI
AI ka kategori dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: ChatGPT generating blog posts or Midjourney creating digital artwork from textual prompts.
Generative Pre-trained Transformer (GPT) (Generative Pre-trained Transformer (GPT))
Generative Pre-trained Transformer (GPT)
OpenAI ka dabali ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka klasɛ dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: GPT-4 is capable of writing essays, translating languages, and summarising documents with minimal prompting.
Genetic Algorithm (Genetic Algorithm)
Genetic Algorithm
Optimisation ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Used to design efficient neural network architectures by simulating survival of the fittest.
Hallucination (Hallucination)
Hallucination
AI modɛli ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A language model invents a non-existent citation or provides false historical facts.
Heuristic (Heuristic)
Heuristic
Baara kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Using a rule of thumb to estimate delivery time in a logistics AI system.
Hyperparameter (Hyperparameter)
Hyperparameter
Masin-kalanni ka modɛli ka kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Adjusting the batch size from 32 to 128 to improve training speed and model performance.
Inference (Inference)
Inference
Masin-kalanni ka modɛli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Using a fine-tuned GPT model to draft emails for a customer support team.
Intent Detection (Intent Detection)
Intent Detection
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: In a chatbot, recognising 'I want to book a flight' as a travel booking intent.
Internet of Things (IoT) (Internet of Things (IoT))
Internet of Things (IoT)
Fiziki ka baara kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Smart thermostats and fridges that report usage data and adjust settings using AI analytics.
Interpretability (Interpretability)
Interpretability
Mɔgɔ ka faamuya ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A decision tree is more interpretable than a deep neural network because its decisions are traceable.
Jupyter Notebook (Jupyter Notebook)
Jupyter Notebook
Open-source interactive computing environment dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Data scientists use Jupyter Notebooks to prototype machine learning models and share results.
K-Nearest Neighbours (KNN) (K-Nearest Neighbours (KNN))
K-Nearest Neighbours (KNN)
Masin-kalanni ka algoritmɛ dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: To classify a new fruit as an apple or pear, KNN checks which labelled fruits are closest in shape and colour.
Knowledge Graph (Knowledge Graph)
Knowledge Graph
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Google's knowledge panel is powered by a knowledge graph that connects entities like people, places, and events.
Language Learning Model Optimisation (LLMO) (Language Learning Model Optimisation (LLMO))
Language Learning Model Optimisation (LLMO)
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Using quantisation and instruction tuning to optimise an LLM for enterprise use.
Large Language Model (LLM) (Large Language Model (LLM))
Large Language Model (LLM)
Deep learning model ka klasɛ dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: ChatGPT and Claude are LLMs trained to assist in writing, coding, and answering questions.
Latent Space (Latent Space)
Latent Space
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: In image generation, manipulating the latent space can change features like brightness or emotion.
Learning Rate (Learning Rate)
Learning Rate
Kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A high learning rate may lead to overshooting minima, while too low a rate slows training progress.
Machine Learning (ML) (Machine Learning (ML))
Machine Learning (ML)
AI ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Spam filters use machine learning to classify emails as spam or not based on past examples.
Model Drift (Model Drift)
Model Drift
Modɛli ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A fraud detection model becomes less accurate as fraud tactics evolve.
Model Training (Model Training)
Model Training
Masin-kalanni ka modɛli ka kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Training a recommendation engine on customer purchase history to suggest new products.
Multimodal AI (Multimodal AI)
Multimodal AI
AI sistɛmuw minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A model like GPT-4 Vision that can read text and interpret images at the same time.
Natural Language Processing (NLP) (Natural Language Processing (NLP))
Natural Language Processing (NLP)
AI ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni masinaw ye minnu bɛ se ka kɛ ni mɔgɔ ka kumaɲɔgɔnna fɔli ye. O bɛ se ka kɛ ni masinaw ye minnu bɛ se ka kɛ ni mɔgɔ ka kumaɲɔgɔnna fɔli ye.
Misali: NLP is used in voice assistants, language translation apps, and chatbots.
Neural Network (Neural Network)
Neural Network
Masin-kalanni ka modɛli dɔ min bɛ se ka kɛ ni mɔgɔ ka miiriw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Neural networks are behind deep learning models used in image and speech recognition.
Noise (Noise)
Noise
Data ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Sensor errors or typo-filled data entries can be considered noise.
Ontology (Ontology)
Ontology
Fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: An ontology in healthcare might define how symptoms relate to diseases and treatments.
Overfitting (Overfitting)
Overfitting
Modɛli ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A model that memorises training answers but can't handle unseen test data is overfitted.
Predictive Analytics (Predictive Analytics)
Predictive Analytics
Data, algoritmɛw, ani AI ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Retailers use predictive analytics to forecast demand for certain products.
Pre-training (Pre-training)
Pre-training
Modɛli ka kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: GPT models are pre-trained on large corpora before being customised for customer service chatbots.
Prompt Engineering (Prompt Engineering)
Prompt Engineering
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Adding system instructions like 'Reply as a polite tutor' is an example of prompt engineering.
Quantisation (Quantisation)
Quantisation
Modɛli ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Quantising a model from 32-bit to 8-bit improves performance on mobile devices.
Quantum Computing (Quantum Computing)
Quantum Computing
Kɔmputɛri ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Quantum computing may one day accelerate AI training beyond classical limits.
Reasoning Engine (Reasoning Engine)
Reasoning Engine
AI ka sistɛmu dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: An AI diagnosis tool uses a reasoning engine to deduce possible medical conditions based on symptoms.
Reinforcement Learning (RL) (Reinforcement Learning (RL))
Reinforcement Learning (RL)
Masin-kalanni ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A robot learning to walk by trial and error using RL techniques.
Reinforcement Learning with Human Feedback (RLHF) (Reinforcement Learning with Human Feedback (RLHF))
Reinforcement Learning with Human Feedback (RLHF)
Kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: ChatGPT was trained with RLHF to produce more helpful and safe responses.
Retrieval-Augmented Generation (RAG) (Retrieval-Augmented Generation (RAG))
Retrieval-Augmented Generation (RAG)
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: An AI assistant retrieves and cites product specs while generating an answer to a technical question.
Self-Supervised Learning (Self-Supervised Learning)
Self-Supervised Learning
Kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: BERT is trained with self-supervised learning by predicting missing words in text.
Semantic Search (Semantic Search)
Semantic Search
ɲini ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Searching 'how to fix a leaking tap' returns guides even if the term 'leaking tap' isn't present in the document.
Sentiment Analysis (Sentiment Analysis)
Sentiment Analysis
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Analysing tweets to gauge public reaction to a new product.
Stochastic (Stochastic)
Stochastic
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: The output of GPT-4 varies for the same input due to its stochastic decoding process.
Strong AI (Strong AI)
Strong AI
A bɛ se ka kɛ ni Artificial General Intelligence (AGI) ye, o bɛ se ka kɛ ni masinaw ye minnu bɛ se ka kɛ ni mɔgɔ ka miiriw ye.
Misali: A future AI that can autonomously write novels, plan cities, and solve ethical dilemmas equally well.
Super Artificial Intelligence (SAI) (Super Artificial Intelligence (SAI))
Super Artificial Intelligence (SAI)
AI ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni mɔgɔ ka miiriw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: An SAI could theoretically develop new sciences and philosophies independently.
Supervised Learning (Supervised Learning)
Supervised Learning
Masin-kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Teaching a model to classify emails as spam or not using historical examples.
Synthetic Data (Synthetic Data)
Synthetic Data
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Creating synthetic medical images to train diagnostic models without violating patient privacy.
Token (Token)
Token
LLMs ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: The sentence 'Hello world!' is split into 3 tokens: 'Hello', 'world', and '!'.
Tokenisation (Tokenisation)
Tokenisation
Kumaɲɔgɔnna fɔli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: In NLP, 'ChatGPT is great' becomes ['Chat', 'G', 'PT', 'is', 'great'].
Transfer Learning (Transfer Learning)
Transfer Learning
Kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Fine-tuning a model trained on English text to perform sentiment analysis in another language.
Transformer (Transformer)
Transformer
Neural network architecture dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: BERT, GPT, and T5 are all transformer-based models.
Underfitting (Underfitting)
Underfitting
Modɛli ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A linear model trying to predict complex image classifications may underfit.
Unsupervised Learning (Unsupervised Learning)
Unsupervised Learning
Kalanni ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Grouping customers based on purchasing behaviour without predefined labels.
User Intent (User Intent)
User Intent
Mɔgɔ ka laɲini ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A user typing 'how to bake a cake' likely intends to find a recipe.
Validation Set (Validation Set)
Validation Set
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Used to detect overfitting before final testing.
Vector Database (Vector Database)
Vector Database
Database dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Pinecone and Weaviate are vector databases for storing text or image embeddings.
Vector Embedding (Vector Embedding)
Vector Embedding
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: The words 'king' and 'queen' have similar embeddings with subtle gender differences.
Virtual Assistant (Virtual Assistant)
Virtual Assistant
AI-powered software agent dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Siri, Alexa, and Google Assistant are popular virtual assistants.
Voice Recognition (Voice Recognition)
Voice Recognition
Teknoloji min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Voice typing and voice commands rely on voice recognition systems.
Weak AI (Weak AI)
Weak AI
AI sistɛmuw minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A chess-playing AI that cannot understand language or drive a car is an example of weak AI.
Web Scraping (Web Scraping)
Web Scraping
Websites ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Scraping real estate listings to train a property valuation model.
Weight (Weight)
Weight
Neural networks ka paramɛtɛri dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Weights adjust during training to minimise the model's error.
Whisper (Whisper)
Whisper
OpenAI ka dabali ka kumaɲɔgɔnna fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Whisper can transcribe lectures and podcasts with high accuracy.
YAML (YAML)
YAML
Data ka fɔli kɛrɛnkɛrɛnnenw ka kɛɲɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: Defining model parameters in a YAML file for training in PyTorch.
Zero-shot Learning (Zero-shot Learning)
Zero-shot Learning
Modɛli ka baara kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: A model answering legal questions despite not being trained specifically on legal data.
Zettabyte (Zettabyte)
Zettabyte
Digital data ka yɔrɔ dɔ min bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye minnu bɛ se ka kɛ ni baara kɛrɛnkɛrɛnnenw ye.
Misali: The global internet traffic surpassed 1 zettabyte per year by 2016.
