Lark Topics

: AI Glossary

Unlock the language of AI with comprehensive AI Glossary in Lark Topics. Dive into a curated collection of key terms and concepts, demystifying the world of artificial intelligence. Stay informed and navigate the AI landscape confidently with our extensive glossary resource.

A
54
Abductive Logic Programming
Abductive Reasoning
Abstract Data Type
Abstraction
Accelerator
Action Language in Ai
Action Model Learning
Activation Function
Adaptive Algorithm
Adaptive Neuro Fuzzy Inference System Anfis
Admissible Heuristic
Adversarial Networks
Affective Computing and It Important
Agents
Ai Accelerator
Ai Art
Ai as a Service Aiaas
Ai Bias
Ai Complete Problem
Ai Copilots
Ai Generated Content Licensing
Ai Governance
Ai Hardware
Aiml
Algorithm
Algorithmic Probability
Alignment
Alphago
Amazon Bedrock
Ambient Intelligence
Answer Set Programming
Anytime Algorithm
Api
Approximate String Matching
Approximation Error
Argumentation Framework in Ai
Artificial General Intelligence Agi
Artificial Immune System
Artificial Intelligence
Artificial Neural Network
Asi Artificial Super Intelligence
Asr Automated Speech Recognition
Association for Advancement of Artificial Intelligence Aaai
Asymptotic Computational Complexity of This Algorithm
Attention
Attention Mechanisms
Augmented Intelligence
Augmented Reality
Autoencoders
Autogpt
Automated Machine Learning Automl
Automated Reasoning
Automaton
Autonomic Computing
B
24
Back Propagation
Backward Chaining
Bag of Words Model
Batch Normalization
Bayesian Networks
Bayesian Programming
Bees Algorithm
Behavior Informatics
Behavior Tree
Belief Desire Intention Software Model
Benchmarking
Bert Bidirectional Encoder Representations From Transformers
Beta
Bias
Big Data in Ai
Big O Notation
Blackboard System in Ai
Boltzmann Machine
Boolean Satisfiability Problem
BPTT
Brain Computer Interface
Brain Technology and How Can It Be Used to Benefit Society
Branching Factor of Tree
Brute Force Search in Ai
C
56
Cadres Dapplications LLM
Capsule Neural Network
Case Based Reasoning
Causal Inference
Cautod
Chain of Thought
Chatbot
Chatgpt
Chomsky Model
Classification
Clip Contrastive Languageimage Pretraining
Cloud Robotics
Cluster Analysis
Coalition for Content Provenance and Authenticity
Cobweb
Cognitive Architecture
Cognitive Computing
Cognitive Science
Collaborative Ai
Commercial Useindemnification
Committee Machine
Commonsense Knowledge
Computational Chemistry
Computational Complexity of Common Ai Algorithms
Computational Creativity
Computational Cybernetics
Computational Humor
Computational Intelligence
Computational Learning Theory
Computational Linguistics
Computational Mathematics
Computational Neuroscience
Computational Number Theory
Compute
Computer Vision
Concept Drift
Conditional Generation
Connectionism
Consciousness
Consistent Heuristic
Constrained Conditional Model
Constraint Logic Programming
Constraint Programming
Constructed Language
Content Authenticity Initiative
Content Aware Fill
Content Credentials
Context Analysis
Context Window LLMS
Control Theory in Ai
Controlnet
Convolutional Neural Network
Cosine Similarity Evaluation
CRM With Ai
Cross Lingual Language Models XLMS
Crossover in Ai
D
41
Dall E
Darkforest
Dartmouth Workshop in Ai
Data Annotation for LLMS
Data Augmentation
Data Cleansing
Data Flywheel
Data Fusion
Data Integration in Ai
Data Labeling in Machine Learning
Data Management Crucial for Llmops
Data Mining
Data Pipelines
Data Privacy
Data Science
Data Set
Data Warehouse
Datalog
Deciphering Bias Variance Tradeoff in Machine Learning
Decision Boundary
Decision Support System DSS
Decision Tree Learning
Declarative Programming
Deductive Classifier
Deep Belief Networks DBNS
Deep Dream
Deep Learning
Deep Reinforcement Learning
Default Logic
Description Logic
Developer Platform for LLM Applications
Developmental Robotics
Diffusion
Diffusion Models
Dimensionality Reduction
Direct Preference Optimization Dpo
Discrete System
Discriminator in Gan
Distributed Computing
Domain Specific Language Models
Double Descent
E
26
Eager Learning
Ebert Test
Ecf and Its Key Components
Echo State Network
Edge Ai
Effective Accelerationism Eacc
Embedding
Embodied Agent
Embodied Cognitive Science
Emerging Architectures for LLM Applications
Encoder Decoder Architecture
End to End Learning
Ensemble Averaging
Error Driven Learning
Ethical Ai Maturity Model
Ethical Implications of Artificial Intelligence
Ethical Issues in Generative Ai
Ethics in Ai
Evolutionary Algorithm
Evolutionary Computation
Evolutionary Feature Selection
Existential Risk From Artificial General Intelligence
Expert Systems
Explainabilityinterpretability
Explainable Ai
Exploring Data in Llmops
F
20
Fast and Frugal Trees
Feature Learning
Federated Learning
Federated Transfer Learning
Fine Tuning
First Order Logic
Flops
Fluent Ai
Formal Language
Forward Chaining in Ai
Forward Propagation
Foundation Model
Foundation Models
Frame in Ai
Friendly Ai
Future of Llmops
Fuzzy Control System
Fuzzy Logic
Fuzzy Rule
Fuzzy Set
G
27
Game Theory
Gan
GCP Vertex
General Adversarial Network Gan
Generalization
Generative Ai
Generative Models
Generative Pre Trained Transformer GPT
Generator
Genetic Algorithm
Genetic Operator
GGML
GGP
Glowworm Swarm Optimization
Google Deepmind
Google Gemini
Googles Bard
GPT Generative Pretrained Transformer
Gpu Graphics Processing Unit
Gradient Boosting Machines GBMS
Gradient Descent
Graph
Graph Database
Graphical Models for Inference
Grok Ai
Grouped Query Attention Gqa
Gsm8k
H
13
Hallucination
Halting Problem
Hellaswag
Helm
Heuristic
Heuristic Search Optimization
Hidden Layer
Hierarchical Models
Human Ai Collaboration in Creativity
Human in Loop
Human Intelligence
Hyper Heuristic
Hyperparameter Tuning
I
21
Ibm Watson
Ieee Computational Intelligence Society
Image Generation
Image to Image Translation
In Domain Data for Ai Training
Incremental Learning in Ai
Inference
Inference Engine
Information Integration
Information Processing Language Ipl
Inpainting
Instruction Tuning
Intelligence Amplification
Intelligence Explosion
Intelligence Quotient Iq
Intelligent Agent
Intelligent Control
Intelligent Personal Assistant
Interpretability in Ai and Why Does It Matter
Intrinsic Motivation
Issue Tree
J
2
Joint Probability Distribution
Junction Tree Algorithm
K
10
Kernel Method
Key Components of Systems Neuroscience Approach to Ai
Key Concepts of Turing Test
Keywords
Knowledge Acquisition
Knowledge Based System
Knowledge Engineering in Ai
Knowledge Extraction
Knowledge Representation and Reasoning
Kullback Leibler Divergence
L
24
Langchain
Language Models
Language Understanding in Ai
Large Language Models
Latent Dirichlet Allocation Lda
Latent Space
Lazy Learning
Learning to Rank in Ai
Levenshtein Distance
Lisp Programming Language
Llama 2
Llamaindex
LLM
LLM Alignment for Ai
LLM App Frameworks
LLM App Platform
LLM Collection
LLM Evaluation
LLM Monitoring
LLM Playground
Llmops
Long Short Term Memory
Long Term Implications of Ai Development
Loss Function or Cost Function
M
32
Machine Learning
Machine Learning Bias
Machine Perception
Machine Vision
Markov Chain
Markov Chain Monte Carlo McMc
Markov Decision Process
Mechatronics
Memory Augmented Neural Networks Manns
Metaheuristics
Meteor Score Metric for Evaluation of Translation With Explicit Ordering
Meteringcredit
Mistral 7b
Mistral Mixtral 8x7b 32k Model
Mixture of Experts
Ml Ops Best Practices for Maintaining and Monitoring LLMS in Production
Mmlu Benchmark Massive Multi Task Language Understanding
Model
Model Checking
Model Explainability in Ai
Monte Carlo Tree Search
Most Important Factors to Consider When Building Ai Analytics System
Mt Bench
Multi Agent Reinforcement Learning Marl
Multi Agent System
Multi Modal Ai
Multi Swarm Optimization
Multi Task Learning Models in Ai
Multimodal
Multimodal in Machine Learning
Mutation
Mycin
N
30
Naive Bayes Classifier
Naive Semantic
Name Binding in Ai
Named Entity Recognition Ner
Named Graph in Ai
Natural Language Generation
Natural Language Processing
Natural Language Programming
Natural Language Understanding
Nerf Neural Radiance Fields
Network Motif
Neural Architecture Search Nas
Neural Machine Translation
Neural Network
Neural Networks
Neural Turing Machine
Neuro Fuzzy
Neurocybernetics
Neuromorphic Engineering
NLP
Node in Ai
Noise
Nondeterministic Algorithm
Norvig Model
Np Completeness
Np Complexity
Np Hard Definition of Np Hardness
NSFW List Blocklist
Nvidia A100
Nvidia H100
O
18
Objective Function
Objectives of Ai System
Occams Razor
Offline Learning in Ai
Ollama
One Shot Learning
Online Machine Learning
Ontology Learning
Open Mind Common Sense
Open Source Software Oss
Openai
Openai GPT 45 Leak
Openai Whisper
Opencog
Outpainting
Overfitting
Overfitting and Underfitting
Overview of Knowledge Distillation Techniques
P
28
Parameters
Partial Order Reduction
Particle Swarm Optimization
Paul Cohen
Pca
Perceptron
Perplexity
Philosophical Zombie
Pomdp
Possible Actions That Can Be Taken
Practical and Ethical Considerations
Pre Trained Models
Pre Training
Prediction Model
Predictive Analytics
Principle of Rationality
Probabilistic Programming
Probability Density Function PDF
Problem of Qualification in Ai
Problem That Ai Is Trying to Solve
Production System
Prolog
Prompt
Prompt Engineering
Prompt Engineering for LLMS
Proposition
Proximal Policy Optimization Ppo
Python
Q
7
Quantified Boolean Formula
Quantifier
Quantization
Quantum Computing
Quantum Generative Models
Quantum Neural Networks QNNS
Query Language in Ai
R
31
Radial Basis Function Network
Ragas
Random Forest
RDF
Real World Case Studies for Llmops
Reasoning
Recurrent Neural Network
Recurrent Neural Networks RNNS
Red Teaming
Region Connection Calculus
Regularization
Reinforcement Learning
Reinforcement Learning From Ai Feedback Rlaif
Reinforcement Learning Theory
Relationship Between TCS and Ai
Reservoir Computing
Restricted Boltzmann Machine
Rete Algorithm
Retrieval Augmented Generation
Retrieval Augmented Generation Rag
Retrieval Pipelines
RLHF Reinforcement Learning From Human Feedback
Robotics
Robustness
Role of Data Quality in Llmops
Role of Engineering Models and Pipelines in Llmops
Role of Experiment Tracking in Llmops
Role of Model Deployment in Llmops
Role of Model Observability in Llmops
Rouge Score Recall Oriented Understudy for Gisting Evaluation
Rule Based Systems in Ai
S
56
Sampling
Satisfiability in Ai
Scaling Laws for Large Language Models
Security Important for Llmops
Seeds
Selection in Genetic Algorithm
Self Attention
Self Management in Ai
Self Supervised Learning
Semantic Information Retrieval
Semantic Network
Semantic Query
Semantic Reasoner
Semantics
Sensor Fusion
Sentiment Analysis
Separation Logic
Similarity Learning in Ai
Simulated Annealing
Simulation Argument
Singularity
Situation Calculus
SLD Resolution in Ai
Sliding Window Attention
Software 20
Some Common Combinatorial Optimization Problems in Ai
Some Common Machine Listening Tasks in Ai
Some Common Methods for Feature Extraction in Ai
Some Common Methods for Pattern Recognition in Ai
Some Common Pathfinding Algorithms
Sparql
Speech Emotion Recognition
Speech Recognition
Speech to Text
Spiking Neural Network
SRL and How Is It Different From Other Ai Methods
Stages of Llmops Lifecycle
State in Ai
Statistical Classification
Stephen Cole Kleene
Stephen Wolfram
Stochastic Optimization
Stochasticity
Strips
Style Transfer
Subject Matter Expert in Ai
Superalignment
Superintelligence
Supervised Fine Tuning
Supervised Learning
Support Vector Machine
Swarm Intelligence
Symbolic Ai
Symbolic Artificial Intelligence
Symbolic Regression in Context of Machine Learning
Synthetic Intelligence
T
31
Task Automation Important in Llmops
Temporal Difference Learning
Tensor Network
Tensorflow
Text Generation
Text Prompts
Text to Speech
Theory of Computation
Thompson Sampling
Time Complexity of This Algorithm
Token
Tokenization
Tokens in Foundational Models
Topic Modeling
Tpu Tensor Processing Unit
Tracing in Distributed Systems
Training
Training Data
Transfer Learning
Transferability
Transformer
Transformer Architecture
Transformer Library
Transformer Models
Transformers
Transhumanism
Transition System
Tree Traversal
Turing Machine
Turing Test
Type System
U
5
Underfitting
Understanding Adversarial Attacks and Defenses in Ai
Understanding Analysis of Algorithms
Understanding Binary Trees
Unsupervised Learning
V
7
Validation
Validation Data
Variants
Variational Autoencoders Vaes
Vector Database
Versioning in Llmops
Vision Processing Unit Vpu
W
7
Wasserstein Generative Adversarial Networks Wgans
Weak Ai
Wer Score Word Error Rate
What Was Name of First Chess Computer to Beat World Champion
Wolfram Alpha
Word Embeddings
World Wide Web Consortium W3c
X
1
Xai Explainable Ai
Z
4
Zephyr 7b
Zero and Few Shot Prompting
Zero Shot Learning
ZPD
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