AI glossary for content assistants
Plain-English definitions of 13,917 AI terms for branded assistant teams.
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13,917 terms. Open one for definitions and related concepts.
Giskard
Giskard is an open-source testing framework for AI models that automatically detects vulnerabilities, biases, and quality issues in LLMs and ML models.
TruEra
TruEra provides AI quality management software for testing, debugging, and monitoring ML models with focus on model intelligence and observability.
WhyLabs
WhyLabs provides an AI observability platform for monitoring data quality, model performance, and LLM behavior with open-source tooling.
Graphcore
Graphcore develops Intelligence Processing Units (IPUs), specialized AI chips designed for machine learning workloads with a unique architecture optimized for sparse computation.
Tenstorrent
Tenstorrent is an AI chip company co-founded by Jim Keller designing RISC-V-based AI processors for both training and inference at the edge and in data centers.
Qualcomm AI
Qualcomm AI develops on-device AI capabilities for mobile and edge devices through its Snapdragon processors and AI Engine technology.
D-ID
D-ID is a company that creates AI-powered talking head videos, enabling realistic digital humans that can speak and present content.
Synthesia
Synthesia is an AI video generation platform that creates professional videos with AI avatars, widely used for corporate training and marketing content.
HeyGen
HeyGen is an AI video platform for creating talking avatar videos and translating existing videos into other languages with lip-sync accuracy.
Descript
Descript is an AI-powered audio and video editing platform that edits media by editing text transcripts, making content creation intuitive.
Otter.ai
Otter.ai is an AI meeting assistant that provides real-time transcription, automated summaries, and action item extraction for meetings and conversations.
Krisp
Krisp is an AI-powered noise cancellation and meeting assistant tool that removes background noise and provides meeting transcription and summaries.
AssemblyAI
AssemblyAI provides AI models and APIs for speech-to-text, speaker diarization, and audio intelligence, serving developers building audio AI applications.
Deepgram
Deepgram provides AI speech recognition APIs optimized for speed and accuracy, powering real-time transcription and voice AI applications.
Rev AI
Rev AI provides speech recognition APIs built on Rev.com years of human transcription data, offering high-accuracy speech-to-text for developers.
Speechmatics
Speechmatics provides enterprise-grade speech recognition technology supporting 50+ languages with on-premises and cloud deployment options.
Whisper
Whisper is OpenAI open-source speech recognition model that provides highly accurate multilingual transcription and translation capabilities.
Copy.ai
Copy.ai is an AI-powered content and copywriting platform that generates marketing copy, blog posts, emails, and social media content using large language models.
Writer
Writer is an enterprise AI writing platform that enforces brand voice, style guidelines, and compliance rules while generating content for large organizations.
Amazon CodeWhisperer
Amazon CodeWhisperer is an AI coding assistant from AWS that provides real-time code suggestions, security scanning, and multi-language support directly in your IDE.
Meta Llama
Meta Llama is a family of open-weight large language models released by Meta AI, ranging from 1B to 405B parameters, that can be run locally or fine-tuned freely.
PyTorch
PyTorch is the most popular open-source deep learning framework, developed by Meta AI, known for its dynamic computation graphs and Pythonic design that makes AI research intuitive.
TensorFlow
TensorFlow is an open-source machine learning framework developed by Google, offering a comprehensive ecosystem for training and deploying ML models across platforms.
JAX
JAX is a high-performance numerical computing library from Google that combines NumPy-like syntax with automatic differentiation, JIT compilation, and GPU/TPU acceleration.
Keras
Keras is a high-level deep learning API that provides an intuitive interface for building neural networks, now supporting PyTorch, JAX, and TensorFlow as backends.
Hugging Face Transformers
Hugging Face Transformers is the most popular library for working with pretrained language models, providing a unified API for loading, fine-tuning, and running thousands of models.
ONNX
ONNX (Open Neural Network Exchange) is an open format for representing machine learning models, enabling interoperability between different frameworks and deployment platforms.
ONNX Runtime
ONNX Runtime is a high-performance inference engine for running ONNX models across platforms, developed by Microsoft for optimized AI model deployment.
TensorRT
TensorRT is NVIDIA's SDK for optimizing deep learning inference on NVIDIA GPUs, providing the fastest possible inference performance through graph optimization and quantization.
OpenVINO
OpenVINO is Intel's toolkit for optimizing and deploying AI models on Intel hardware, including CPUs, integrated GPUs, and VPUs for edge inference.
Core ML
Core ML is Apple's framework for integrating machine learning models into iOS, macOS, watchOS, and tvOS apps, optimized for on-device inference using Apple silicon.
TensorFlow Lite
TensorFlow Lite is a lightweight framework for deploying machine learning models on mobile devices and embedded systems with low latency and small binary size.
scikit-learn
scikit-learn is the most widely used Python library for traditional machine learning, providing simple and efficient tools for classification, regression, clustering, and preprocessing.
XGBoost
XGBoost is a highly optimized gradient boosting library known for its speed and performance, consistently winning machine learning competitions on tabular data.
LightGBM
LightGBM is a fast gradient boosting framework by Microsoft that uses histogram-based algorithms for efficient training on large datasets with many features.
CatBoost
CatBoost is a gradient boosting library by Yandex that natively handles categorical features without preprocessing, reducing overfitting through ordered boosting.
statsmodels
statsmodels is a Python library for statistical modeling, hypothesis testing, and econometrics, providing detailed statistical tests and model diagnostics beyond scikit-learn.
scipy
SciPy is a Python library for scientific computing that provides algorithms for optimization, integration, interpolation, signal processing, and statistical functions.
Optuna
Optuna is a hyperparameter optimization framework that uses efficient search algorithms to automatically find the best model hyperparameters.
spaCy
spaCy is an industrial-strength Python NLP library for advanced text processing, providing fast and accurate tokenization, NER, POS tagging, and text classification.
NLTK
NLTK (Natural Language Toolkit) is a comprehensive Python library for teaching and working with NLP, providing a wide range of text processing tools and linguistic resources.
Gensim
Gensim is a Python library for topic modeling and document similarity, known for efficient implementations of Word2Vec, Doc2Vec, and LDA algorithms.
sentence-transformers
sentence-transformers is a Python library for computing dense vector representations of sentences and paragraphs, widely used for semantic search, clustering, and similarity tasks.
BERTopic
BERTopic is a topic modeling library that leverages transformer embeddings and clustering to discover coherent topics in text collections with better results than traditional methods.
OpenCV
OpenCV is the most widely used open-source computer vision library, providing tools for image and video processing, object detection, and visual AI applications.
Detectron2
Detectron2 is Meta AI's state-of-the-art object detection and segmentation library built on PyTorch, providing modular implementations of leading detection algorithms.
Ultralytics
Ultralytics develops YOLO (You Only Look Once) object detection models, providing the fastest and most popular real-time object detection framework.
albumentations
albumentations is a fast image augmentation library that provides a comprehensive set of transformations for training robust computer vision models.
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Product FAQ
What is InsertChat?
InsertChat is a white-label AI assistant for your website. Train it, brand it, publish it, and learn from visitor questions.
How does InsertChat use my website content?
Connect approved pages, docs, videos, FAQs, policies, and other sources. InsertChat turns them into source-backed answers and next steps.
Can I control the assistant's tone and sources?
Yes. Choose its sources, tone, welcome message, and prompts so it stays on brand.
How does InsertChat stay accurate?
Answers use approved content and source links. Analytics show unclear or missing answers so you can improve coverage.
Can it collect leads or route support questions?
Yes. InsertChat can collect details, qualify intent, add context, and send chats to the right inbox, CRM, workflow, or person.
Can I control how the assistant behaves?
Yes. Control prompts, model choice, tool access, and the branded assistant experience so behavior stays consistent.
Which AI models can I use?
InsertChat supports multiple model providers. Choose each assistant's model for quality, speed, and cost, or use BYOK.
Can I pick different models for different workflows?
Yes. Use a faster model for common questions and a stronger model for complex reasoning. InsertChat supports that balance per conversation.
Where can I deploy an assistant?
Use a widget, embed, full-page assistant, custom domain, in-app embed, or API. Reuse one setup across surfaces.
Do I need coding skills?
No. Build and deploy AI assistants using our visual builder. The embed code is one line of JavaScript.
Can I customize the branding and UI?
Yes. Customize the assistant name, logo, colors, welcome message, suggested prompts, tone, domain, and white-label presentation.
Can I use my own domain?
Yes. Custom domains are supported, typically via enterprise options.
Does InsertChat support voice?
Yes. Voice dictation and text-to-speech let users speak instead of type.
Does InsertChat support vision?
Yes. Enable vision for assistants when images help clarify a request or context.
What tools and integrations are supported?
Zendesk, HubSpot, Shopify, WooCommerce, calendar booking, web search, Perplexity, and webhooks for your own systems.
Can I control which tools the assistant is allowed to use?
Yes. Tool access is controlled per assistant so you enable only what you need.
Can the agent hand off to a human?
Yes. Configure human handoff so the agent escalates when needed. Full conversation history is passed along.
Do you provide analytics?
Yes. Track chats, leads, feedback, top questions, unanswered questions, most-used sources, and content gaps.
Is it mobile friendly?
Yes. The widget and embeds work well on desktop and mobile with no separate experience needed.
What's the fastest path to a successful deployment?
Start with one assistant and a small set of high-value sources. Iterate using real questions from analytics.
What is the fastest way to get started?
Create an account. Connect one key source. Ask a test question, brand the assistant, then publish it on one page.