AI chatbot plugins

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AI chatbot plugins

AI chatbot plugins – Extensions or additional features that enhance the capabilities of chatbots like ChatGPT, enabling them to perform specialized tasks such as querying databases or connecting to external APIs.

AI PC

Personal computers (PCs) with integrated AI capabilities for tasks like voice recognition, smart automation, and improved user experiences through machine learning.

AI Prompt

A user input or command given to an AI chatbot to generate a response. The quality and specificity of the prompt directly affect the chatbot's output.

AI accelerator

Specialized hardware, such as GPUs or TPUs, designed to speed up the processing of AI tasks like training and inference, improving computational efficiency.

AI alignment

The process of ensuring that AI systems' goals and behaviors are in harmony with human values and ethical standards, preventing harmful or unintended consequences.

AI art (artificial intelligence art)

Art created by AI systems using algorithms to generate visuals, music, or other creative works, often incorporating machine learning models trained on vast datasets of existing art.

AI assistant

A general term for AI tools, like ChatGPT or Copilot, designed to assist users with tasks such as writing, coding, or answering questions.

AI audience engagement analysis

AI analyzes viewer engagement, such as comments, likes, and watch time, to suggest content improvements or optimize future video production.

AI auto-captioning

AI automatically generates accurate subtitles for videos, improving accessibility and allowing content consumption without sound.

AI auto-color correction

An AI-driven process that automatically adjusts color tones, balance, and lighting to enhance video quality without manual intervention.

AI auto-music generation

AI composes or selects background music for videos, automatically fitting the tone and pacing of the content.

AI auto-posting

AI-powered tools schedule and post content automatically across social media platforms like TikTok and YouTube Shorts.

AI avatar creation

The creation of digital characters or avatars through AI, often customized based on user inputs for personalized video content.

AI character animation

AI-driven techniques that animate characters based on input scripts or actions, streamlining the animation process.

AI character voice synthesis

AI-generated voices for animated or synthetic characters, mimicking human speech in various tones, accents, and styles.

AI chatbot

A software application that uses AI and natural language processing to simulate conversations with human users. Popular AI chatbots include ChatGPT, Copilot, and Google Bard.

AI chatbot plugins

Extensions or additional features that enhance the capabilities of chatbots like ChatGPT, enabling them to perform specialized tasks such as querying databases or connecting to external APIs.

AI choreography for animation

AI analyzes motion patterns and helps choreograph animated characters, enhancing natural movement and interaction.

AI clip generation

AI automatically selects and generates video clips from longer footage, identifying key moments based on content relevance.

AI content generation

The automated creation of video content using AI, where the platform generates video scripts, graphics, and narratives.

AI content moderation

AI systems that automatically detect and filter out inappropriate content or scenes in videos, ensuring compliance with guidelines.

AI democratization

The effort to make AI technology widely accessible to non-experts by lowering barriers to entry, such as by providing easy-to-use tools, platforms, and frameworks for AI development.

AI digital actors

The use of AI to generate synthetic human-like actors for videos, capable of mimicking real actors’ expressions and movements.

AI ethics (AI code of ethics)

The set of guidelines and principles that govern the development, deployment, and use of AI systems in a manner that is fair, transparent, and responsible, emphasizing human rights and societal welfare.

AI facial animation

AI automates the process of facial animation, mapping emotions and expressions onto digital or animated characters.

AI facial expressions mapping

AI detects and replicates facial expressions, enabling digital characters or avatars to mimic human emotions realistically.

AI facial reconstruction

AI helps reconstruct facial features or expressions in video content, often used for visual effects or post-production enhancement.

AI generated effects

AI-driven special effects such as CGI, particle effects, or dynamic lighting, applied automatically based on scene content.

AI inference

The process of using a trained AI model to make predictions or decisions based on new, unseen data, as opposed to the training phase where the model learns from historical data.

AI lip sync video

AI synchronizes character or avatar lip movements to match spoken dialogue, streamlining dubbing or animation processes.

AI lip-syncing

AI technology that aligns lip movements in video with pre-recorded dialogue, often used in animations and dubbing.

AI motion blur correction

AI reduces or eliminates motion blur in video footage, resulting in clearer, sharper visuals, especially in fast-paced scenes.

AI motion capture

AI enhances motion capture techniques, analyzing movements and translating them into digital animations more accurately.

AI prompt engineering

The process of crafting and refining prompts to get the most accurate and useful responses from an AI chatbot like ChatGPT.

AI red teaming

A practice where AI systems are subjected to adversarial testing by expert teams (red teams) to identify vulnerabilities, biases, or potential failures in order to improve the safety and robustness of the models.

AI scene composition

AI assists in the arrangement of visual elements in a scene, optimizing camera angles, lighting, and focus for better aesthetics.

AI scene reconstruction

AI algorithms recreate missing or incomplete parts of a video scene, often used in restoration or enhancing damaged footage.

AI script generation

AI-powered tools create video scripts automatically based on a topic or theme, saving time and ensuring consistency in content generation.

AI script generator

AI creates video scripts from user inputs, using natural language processing to generate dialogue, narration, and storylines.

AI speech synthesis

AI generates human-like speech from text input, often used in video narration or character dialogue.

AI subtitle generation

AI automates the creation of subtitles, transcribing speech and generating text overlays for videos in various languages.

AI topic selection

AI suggests trending or popular topics for video content creation, helping users choose relevant themes for their channels or series.

AI video customization templates

AI offers pre-designed, customizable video templates to streamline content creation, especially for creating series of related videos.

AI video length optimization

AI suggests the ideal length for videos based on platform guidelines and viewer preferences, ensuring maximum engagement.

AI voiceover generation

AI synthesizes realistic voiceovers from text using technologies like ElevenLabs, providing lifelike narration or character dialogue.

AI watermarking

A technique used to embed invisible markers or metadata in AI-generated content, helping trace the origin of the content and ensuring accountability or intellectual property protection.

AI winter

A period in AI history characterized by reduced funding, interest, and research progress, typically following periods of high expectations and subsequent disillusionment with AI capabilities.

AI-based chroma keying

AI automates the removal of green screen backgrounds, improving accuracy and efficiency in video editing.

AI-based motion detection

AI identifies and tracks motion in videos, allowing for more precise effects, edits, and transitions based on movement.

AI-based motion graphics

The use of AI to create and animate dynamic graphic elements for videos, making design processes faster and more efficient.

AI-based scene transitions

AI automatically generates or suggests smooth transitions between scenes, improving video flow without the need for manual edits.

AI-based time-lapse generation

Automates the process of converting long footage into a time-lapse video by selecting key frames and speeding up intervals.

AI-based video compression

An AI-enhanced method of reducing video file size without sacrificing quality, making storage and streaming more efficient.

AI-based video localization

AI helps localize video content by automatically translating and adapting text, speech, and visuals to fit different cultural contexts.

AI-based visual effects (VFX)

AI algorithms assist in creating complex visual effects, making processes like CGI, explosions, and simulations faster and more realistic.

AI-created virtual worlds

AI helps design and generate entire virtual environments or landscapes for use in films, animations, or gaming.

AI-driven animation

Automation of animation processes through AI, creating realistic or stylized animations based on user inputs or templates.

AI-driven animation templates

AI generates animated scenes or elements, eliminating the need for manual animation and simplifying content creation for faceless videos.

AI-driven brand consistency

AI ensures that all videos produced under a series or a brand maintain consistent voice, style, and quality, enhancing brand identity across platforms.

AI-driven cinematography

AI controls camera angles, lighting, and scene composition to create professional-quality shots without human operators.

AI-driven content diversity

AI automatically suggests or creates varied video content, ensuring creators cover a wide range of subtopics within their niche to attract diverse audience groups.

AI-driven digital actors

AI generates virtual actors that can perform scripted scenes or react dynamically to inputs in real time.

AI-driven faceless video creation

AI automates the entire video production process, generating videos without needing human actors or presenters, ideal for faceless YouTube channels and similar platforms.

AI-driven motion blur correction

AI fixes unwanted motion blur in videos, enhancing clarity and maintaining the natural feel of movements.

AI-driven motion graphics

AI automates the creation and animation of graphics, helping to design dynamic, visually appealing elements in videos.

AI-driven scene reordering

AI rearranges scenes in a video for better narrative flow, automatically detecting the best order for storytelling.

AI-driven storytelling

AI assists in structuring narratives, generating scripts, and suggesting plot directions for video projects.

AI-driven video collaboration tools

AI facilitates real-time collaboration on video projects, enabling multiple users to edit, review, and comment on content.

AI-driven video enhancement

AI algorithms improve video quality, adjusting brightness, sharpness, and color for an enhanced viewing experience.

AI-driven video generation

Automated creation of videos based on minimal input such as text, script, or storyboard using AI algorithms.

AI-driven video insights

AI analyzes video content to provide insights into viewer engagement, sentiment, and performance for optimizing future videos.

AI-driven viral video prediction

AI predicts the potential virality of a video based on current trends, keywords, and previous content performance, helping creators make strategic decisions.

AI-enhanced editing tools

Video editing tools that use AI to automate repetitive tasks, suggest edits, or enhance footage based on predefined parameters.

AI-enhanced video quality

AI upscales or enhances video resolution, sharpness, and overall quality, often converting lower-quality footage into HD or 4K.

AI-generated avatars

AI creates virtual avatars or characters, which can be used in place of human actors in videos or interactive media.

AI-generated cinematography

AI determines the best camera angles, framing, and lighting for shots, often improving scene composition and quality.

AI-generated content distribution

AI optimizes how video content is distributed across platforms, determining ideal release times, formats, and audiences.

AI-generated influencers

AI creates digital influencers or virtual personalities that can star in videos, interact with viewers, or represent brands.

AI-generated series

AI creates automated video series based on a specific theme or niche, ensuring consistent production and release of content.

AI-generated thumbnails

AI creates eye-catching video thumbnails by analyzing the video content and selecting or designing the most attractive visual elements.

AI-generated video

Videos created by AI from user inputs such as text, script, or templates, requiring little to no manual editing.

AI-generated video summarization

AI condenses lengthy videos into shorter summaries by identifying key scenes and highlights for quick consumption.

AI-generated video templates

Pre-built video templates created by AI that can be easily customized for different themes, styles, or purposes.

AI-guided video editing workflows

AI provides guidance or automation in the video editing process, helping users to navigate through tasks efficiently.

AI-powered content management

AI manages and organizes content, simplifying the process of overseeing multiple video projects or series across different platforms.

AI-powered content moderation

AI filters out inappropriate or irrelevant content automatically, ensuring videos adhere to platform guidelines and audience preferences.

AI-powered content repurposing

AI transforms existing videos into new formats or edits, optimizing them for different platforms or audiences, such as converting long videos into shorter clips for TikTok or YouTube Shorts.

AI-powered content scheduling

AI optimizes the timing of video releases based on user engagement data, ensuring content is posted when the audience is most active.

AI-powered green screen

AI simplifies green screen technology by accurately detecting and replacing backgrounds without manual adjustments.

AI-powered lighting

AI systems that adjust lighting in videos based on scene context, improving visual quality and atmosphere automatically.

AI-powered storytelling

AI-driven systems that assist in creating and structuring video narratives by generating plots, character arcs, and dialogue.

AI-powered transitions

AI generates smooth transitions between video scenes, automatically ensuring seamless flow without manual input.

AI-powered video customization

AI tailors video content to individual viewers by adjusting elements such as scenes, subtitles, or dialogue in real-time.

AI-powered video editor

A video editing platform that uses AI to streamline editing tasks, suggesting cuts, transitions, and effects based on content.

AI-powered video optimization

AI systems that enhance video content for different platforms, automatically adjusting quality, resolution, and formats.

AI-powered video recommendation

AI suggests videos based on user behavior and preferences, often used on platforms to increase viewer engagement.

AI-supported post-production workflows

AI assists in post-production tasks like editing, color correction, and effects application, reducing manual effort.

AgentGPT

A customizable, autonomous AI agent designed to perform tasks without human intervention, often used for automating workflows, decision-making, and conversational tasks. It leverages large language models to interact dynamically with users or other systems.

Agentic AI

AI systems capable of making decisions and taking actions independently, often used in applications requiring autonomous behavior, such as robotics and complex simulations.

Alexa

Amazon's popular AI assistant, integrated into smart speakers like Echo devices. Alexa can perform tasks such as answering questions, providing weather updates, playing music, and controlling smart home systems.

AlphaFold 3

DeepMind’s breakthrough AI model for predicting protein folding. AlphaFold 3 continues to push the boundaries of biomedical research by providing more accurate predictions in protein structure, aiding in drug discovery and biology research.

AlphaGo

A groundbreaking AI developed by DeepMind that used deep learning and reinforcement learning to master the complex game of Go, defeating the world champion in 2016.

Amazon AI

A suite of machine learning and AI services provided by Amazon Web Services (AWS), including tools for image recognition, speech synthesis, and predictive analytics.

Amazon Lex

An AI service by Amazon Web Services that builds conversational interfaces and voice/text-based chatbots, leveraging natural language understanding and automatic speech recognition.

Amazon Machine Learning

A cloud-based service that allows developers to create predictive models using machine learning algorithms without needing in-depth expertise in the field.

Amelia

An AI-powered virtual assistant built for enterprises, capable of performing advanced tasks in customer service, IT support, and HR. Amelia combines conversational AI with process automation to improve business operations.

Anthropic Claude 3

A conversational AI developed by Anthropic, focusing on safety and ethical use. Claude 3 is designed for tasks like summarization, answering questions, and creative writing, with advanced capabilities for safe and aligned interactions.

Anthropic Constitutional AI

A framework by Anthropic that guides AI models to follow specific principles or "constitutions" to ensure ethical decision-making and reduce harmful outputs, embedded in models like Claude.

Apple Intelligence

AI-powered features integrated across Apple products like Siri, Face ID, and on-device machine learning for enhanced security, privacy, and personalized experiences.

Artificial Intelligence (AI)

The simulation of human intelligence in machines, enabling them to perform tasks such as reasoning, learning, problem-solving, and understanding language.

Artificial Intelligence as a Service (AIaaS)

A cloud-based service model that provides AI tools and capabilities as services to users, allowing businesses to integrate AI without building infrastructure from scratch.

Asilomar AI Principles

A set of guidelines developed in 2017 to ensure the safe and beneficial development of AI technologies, focusing on transparency, accountability, and alignment with human values.

Automated B-roll selection

AI automatically selects relevant B-roll footage to match a video's primary content, streamlining the editing process.

Automated scene detection

AI detects and identifies different scenes in a video, segmenting them for easier editing and organization.

Automated video editing

The use of AI to perform basic editing tasks like cutting, trimming, and adding transitions or effects automatically.

algorithmic transparency

The principle of making the workings of AI algorithms clear and understandable, allowing users and regulators to scrutinize decision-making processes and ensure fairness and accountability.

ambient intelligence (AmI)

A vision for technology in which AI and sensors are seamlessly embedded into the environment to provide context-aware, adaptive, and unobtrusive services to users.

artificial general intelligence (AGI)

A theoretical form of AI that would have the ability to perform any intellectual task that a human can, often considered the ultimate goal of AI research.

artificial intelligence (AI) governance

The framework of rules, policies, and oversight mechanisms that govern the responsible development and deployment of AI, ensuring alignment with ethical, legal, and societal standards.

artificial intelligence of things (AIoT)

The integration of AI with Internet of Things (IoT) devices to enable smarter decision-making, automation, and analytics across connected systems and sensors.

artificial neuron

The basic computational unit of a neural network, modeled after biological neurons, used to process inputs and generate outputs in AI models.

artificial superintelligence (ASI)

A hypothetical future AI that surpasses human intelligence across all fields, including creativity, problem-solving, and social understanding.

assistive technology (adaptive technology)

Technology designed to assist individuals with disabilities, improving their ability to communicate, move, and perform daily activities through AI-driven tools and devices.

association rules

A data mining technique used to discover relationships and patterns between variables in large datasets, often used in market basket analysis.

augmented analytics

The use of AI and machine learning to automate data preparation, insight generation, and data visualization, making analytics more accessible to non-experts.

augmented intelligence

A collaborative approach between humans and AI systems where AI enhances human decision-making rather than replacing it, aiming to amplify human capabilities.

automated machine learning (AutoML)

A suite of tools and techniques that automate the process of building, training, and optimizing machine learning models, making AI more accessible to non-experts.

automated reasoning

The area of AI focused on enabling machines to reason logically, drawing conclusions based on available information, and solving complex problems autonomously.

autonomous artificial intelligence (autonomous AI)

AI systems capable of performing tasks independently without human intervention, often used in robotics, self-driving cars, and intelligent automation.

BERT language model

A state-of-the-art natural language processing model developed by Google that uses bidirectional training to better understand the context of words in a sentence.

BLOOM (BigScience Large Open-science Open-access Multilingual Language Model)

A multilingual language model developed by the BigScience project. BLOOM is designed to handle a wide range of languages and tasks, focusing on ethical and transparent AI development.

Boolean

A branch of algebra dealing with true or false values, fundamental to logic-based AI and computing, and used in decision-making algorithms.

backward chaining

A reasoning method in AI where the system works backward from a goal to determine the necessary steps or conditions to achieve that goal, often used in expert systems.

black box AI

AI systems whose internal workings are not easily understood or interpretable by humans, often leading to concerns about transparency and accountability.

brain-computer interface (BCI)

Technology that allows direct communication between the brain and external devices, often used in medical applications to help individuals control prosthetics or computers.

Cerebras GPT

A family of GPT models designed to run on Cerebras' wafer-scale hardware, providing super-efficient training and inference for large-scale natural language models.

ChatGPT

A conversational AI model developed by OpenAI, capable of understanding and generating human-like text based on prompts provided by users.

ChatGPT jailbreak

Methods or techniques used by users to bypass or manipulate the safety restrictions or limitations placed on the ChatGPT model.

Claude 2

An improved version of Claude AI, Claude 2 introduced better natural language understanding and generation capabilities. It offered more coherent and contextually aware conversations, with advancements in handling complex tasks like writing assistance, question answering, and creative content generation, all while maintaining its emphasis on ethical AI usage.

Claude AI

The first version of Anthropic's Claude AI, focused on safety, alignment, and ethical conversational abilities. It was designed to generate human-like text, assist with summarization, answer questions, and follow user instructions while minimizing harmful or biased outputs. Claude 1 set the foundation for safe and controlled AI interactions.

Codex

OpenAI's AI model optimized for programming tasks. Codex powers GitHub Copilot, helping developers by generating code snippets, debugging, and completing entire functions based on natural language input.

Cohere Command R+

A model developed by Cohere for retrieval-augmented generation, making it particularly useful in situations where real-time information access is critical, such as in customer support or dynamic content creation.

Conversational AI

AI technology that enables chatbots to engage in back-and-forth, natural conversations with users, similar to human dialogue.

Custom avatars

AI-generated digital characters tailored to users' specifications, often used for personal or commercial video content.

case-based reasoning (CBR)

A problem-solving approach in AI that uses past cases or experiences to solve new problems, drawing from previous knowledge to inform decision-making.

causal AI

An AI approach that focuses on understanding cause-and-effect relationships in data, rather than just correlations, enabling better prediction and decision-making.

cellular automaton (CA)

A model used in computational systems where cells evolve through a set of rules based on the states of their neighboring cells, often used in simulations and pattern recognition.

chain-of-thought prompting

A technique in AI where intermediate reasoning steps are explicitly generated or displayed to guide the AI model toward solving a complex problem or answering a question.

cognitive automation

The use of AI and machine learning to automate tasks that require cognitive functions such as decision-making, learning, and natural language understanding.

cognitive search

AI-driven search engines that provide more intuitive and relevant results by understanding the context, intent, and meaning of the user’s queries.

computational linguistics (CL)

The study of using computational methods to analyze and model human language, often applied in natural language processing tasks such as translation and speech recognition.

context window

The range of text or data that an AI model considers when processing input to generate responses, often critical in understanding and generating relevant information in language models.

curiosity artificial intelligence (curiosity AI)

AI systems designed to explore and learn autonomously by seeking out new information or challenges, often used in reinforcement learning to improve problem-solving capabilities.

DALL-E 3

OpenAI’s third iteration of the DALL-E model, which can generate high-quality images from textual descriptions. DALL-E 3 introduces more complex visual outputs with better understanding of intricate prompts.

Deep learning video generation

The use of deep learning models to generate video content based on learned patterns, often producing realistic or stylized results.

DeepMind

A leading AI research company owned by Alphabet (Google's parent company), known for breakthroughs in deep learning and reinforcement learning, including AlphaGo and other advanced AI systems.

Deepfake technology

AI-generated videos that mimic real people's appearances and voices, often used in entertainment or to simulate speech.

data classification

The process of organizing data into categories based on shared features or labels, a key task in machine learning and data analytics.

data mining

The practice of analyzing large datasets to discover patterns, correlations, and useful information, often used in AI for predictive analytics and decision-making.

data poisoning (AI poisoning)

A type of attack where malicious actors inject false or misleading data into a training set to manipulate the outcomes of an AI model.

data science platform

A suite of tools and frameworks that allow data scientists to manage, analyze, and model large datasets efficiently, often with integrated machine learning capabilities.

data splitting

The process of dividing a dataset into subsets for training, validation, and testing in machine learning to ensure accurate and unbiased model evaluation.

delivery drone

Unmanned aerial vehicles (UAVs) equipped with AI for autonomous navigation and delivery of goods, often used in logistics and supply chain management.

dropout

A regularization technique in machine learning where certain neurons are randomly “dropped out” during training to prevent overfitting and improve generalization of the model.

Ernie 4.0

Baidu's flagship large language model, built for the Chinese market, offering powerful capabilities in natural language understanding, text generation, and multimodal processing.

edge AI

AI that runs on local devices (such as smartphones, IoT devices, or embedded systems) rather than centralized cloud servers, enabling faster processing and real-time decision-making.

evolutionary algorithm

A subset of machine learning inspired by biological evolution, where candidate solutions evolve over time through processes like mutation, crossover, and selection.

expert system

A type of AI that uses a knowledge base and inference rules to solve complex problems, often in fields like medicine, engineering, and finance, by mimicking human expert reasoning.

explainable AI

AI systems designed to provide clear and understandable explanations for their decisions and actions, enhancing transparency and trust in their outcomes.

Facial animation

AI automates the animation of facial movements and expressions for digital characters or avatars.

Falcon 180B

A large-scale open-access language model designed for robust natural language understanding and generation, developed by the Technology Innovation Institute (TII). Known for high performance across multilingual tasks.

Fine-tuning AI chatbots

Adjusting and retraining AI models like ChatGPT to cater to specific tasks or industries by providing additional, domain-specific training data.

face detection

AI technology that detects and locates human faces within images or video frames, often used as a precursor to facial recognition systems.

facial recognition

A biometric AI technology that identifies or verifies individuals by analyzing the unique patterns of their facial features, commonly used in security, surveillance, and user authentication.

feature engineering

The process of transforming raw data into features that can be used to train machine learning models, often requiring domain expertise and creativity.

first-order logic

A formal system used in AI to represent and reason about relationships between objects and their properties, supporting more complex reasoning than basic Boolean logic.

flux

A state-management pattern used in AI and software development, where the flow of data is unidirectional, making it easier to maintain and update states in complex systems.

fuzzy logic

A form of logic used in AI that allows for reasoning with imprecise or uncertain information, as opposed to the binary true/false nature of traditional logic.

GPT (Generative Pre-trained Transformer)

The core architecture behind models like ChatGPT, which is designed to generate text based on patterns learned during training on vast datasets.

GPT-3

A large language model developed by OpenAI, known for its ability to generate highly coherent and contextually appropriate text across a wide range of tasks, using deep learning techniques.

GPT-4

The fourth iteration of OpenAI's Generative Pre-trained Transformer model, widely used for natural language generation tasks. Known for its ability to generate coherent, context-aware, and human-like text across various domains.

GPT-4 Turbo

A more efficient and cost-effective version of OpenAI's GPT-4, designed to provide faster responses and improved cost optimization in commercial applications, with most of the same capabilities as GPT-4.

Gato

A generalist agent developed by DeepMind that can perform multiple tasks, including text, image recognition, and gameplay, positioning it as a model for general AI applications.

Gaussian splatting

A graphics processing technique used in AI to efficiently generate smooth, continuous surfaces by approximating pixel information, often used in 3D rendering and image generation.

Gemini

A cutting-edge AI assistant developed by Google DeepMind, Gemini is designed as a multimodal model capable of handling text, image, and audio processing. It integrates conversational capabilities similar to ChatGPT, while also excelling in real-time data analysis and complex problem-solving tasks. Gemini focuses on providing users with a comprehensive AI experience by combining Google’s advanced search, voice assistance, and AI-driven functionalities into one assistant. It’s designed for personal productivity, creativity, and more advanced enterprise use cases.

Gemini 2

The second iteration of Google DeepMind's multimodal AI model, Gemini 2 builds upon the original Gemini with enhanced capabilities in understanding and generating text, images, and audio. It integrates even more deeply with Google’s ecosystem, offering advanced real-time data processing, search capabilities, and voice interaction. Gemini 2 is designed to handle complex conversational tasks, content generation, and even assist with creative work like design and multimedia editing. This version improves on both the scale and efficiency of AI-driven solutions for both personal and enterprise use.

Gemma

A term used for emerging AI platforms or systems (hypothetical or industry-specific), often representing AI models designed for particular applications such as personalized recommendations or analytics.

Generative AI for video

AI models that create new video content based on minimal input, often generating scenes, animations, or entire videos.

GitHub Copilot

An AI assistant developed by GitHub and powered by OpenAI’s Codex model. Copilot helps developers by suggesting code completions, generating functions, and automating repetitive coding tasks within IDEs like Visual Studio Code.

Google AI

The AI research and development arm of Google, responsible for creating advanced AI technologies like natural language processing models (BERT), image recognition, and reinforcement learning systems.

Google Assistant

A voice-activated AI assistant from Google, capable of performing tasks such as answering questions, setting reminders, controlling smart devices, and providing real-time updates. Integrated with Google's ecosystem, it supports various daily life tasks.