Generative AI Market

The worldwide Generative AI market size is projected to grow from USD 20.9 billion in 2024 to USD 136.7 billion by 2030 at a CAGR of 36.7% during the forecast period, driven by various converging factors. The continuous advancements in AI technologies, particularly in areas such as natural language processing (NLP), computer vision, and generative adversarial networks (GANs), are unlocking new possibilities for generating high-quality, human-like content across various domains. moreover, higher digitization of industries has brought about a surge in demand for AI-driven solutions to automate processes and make them more creative and personalized for users. The increasing use of Generative AI in diverse sectors like entertainment, healthcare, marketing, and design is fueling market growth as businesses recognize its potential to revolutionize content creation, product development, and customer engagement.

Technology Roadmap of Generative AI Market

The generative AI market report covers the technology roadmap, with insights into the short-term and long-term developments.

• Short-term (1-5 Years):
  • Continued advancements in transformer models, with incremental improvements in performance and capabilities.
  • Incorporation of multimodal data, including text, images, video, and audio, to enable more diverse and engaging generative outputs.
  • Scaling model size to trillions of parameters, leveraging enhanced hardware and infrastructure.
  • Development of dedicated AI accelerators, such as Nvidia Hopper and Google TPU v4, to drive performance improvements.
  • Expansion into more advanced text generation capabilities, including summarization, personalized content, and report/document generation.
• Long-term (5+ years):
  • Exploration of fundamentally new model architectures beyond transformers, potentially incorporating neuro-symbolic approaches.
  • Increased use of unsupervised and self-supervised learning techniques to reduce reliance on labeled data.
  • Emergence of neuromorphic and quantum computing hardware specifically designed for Generative AI applications.
  • Generative AI as a versatile, integrated content creation tool across various mediums, including text, images, video, and audio.
  • Seamless integration of Generative AI capabilities with other AI systems, enabling new forms of creativity and productivity.

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Market Dynamics

Driver: The rising demand for automated content creation and curation

The increase in content generation and creative applications is a key factor driving growth in the Generative AI market, sparking innovation and increasing the need for AI-powered solutions. With digital platforms and the Internet gaining rapid momentum, industries such as media, advertising, gaming, and design have insatiable appetites for diverse and engaging content. Deep learning models and generative adversarial networks (GANs) are generative AI technologies that enable automated content creation with remarkable realism and creativity enabling creators with the opportunity to produce huge volumes of diverse, good-quality multimedia content in an effective and inexpensive way. Additionally Generative AI enables customized content experiences based on user preferences increasing user engagement and retention.

Restraint: High costs associated with training data preparation

Obtaining and preparing large diverse datasets can be expensive and time consuming but training data is essential for teaching AI models to produce accurate and realistic outputs. Manual annotation curation and validation procedures are frequently needed to generate high-quality training data and they require a substantial investment of time and knowledge from human resources. Furthermore, it can be difficult and expensive to find appropriate data that accurately reflects the desired results in different areas, especially for specific or specialized purposes. For startups and smaller companies these expensive data preparation requirements may serve as entry barriers preventing them from fully utilizing generative AI technologies.

Opportunity: Increasing deployment of Large Language Models (LLMs)

For the generative AI market the growing use of large language models (LLMs) offers a substantial opportunity. LLMs like the GPT series of OpenAI are transforming the field of natural language processing by enabling machines to understand and create human-like text on a larger and more intricate level. These powerful models have demonstrated remarkable capabilities in tasks such as text generation, translation, summarization, and question-answering, among others. The need for Generative AI solutions leveraging LLMs is growing as businesses from a variety of industries realize how these models can improve productivity, automate procedures, and provide personalized experiences.

Challenge: Quality of output generated by Generative AI models

Despite significant advancements, generative AI models are still error-prone, biased, and inappropriate, raising user trust and usability concerns. In some instances, ChatGPT has produced false responses or utterances of nonsense, situations that have revealed the limitations and risks when only relying on generated AI output. Additionally, model drift in GPT-4 decreases performance over time by changes in data distributions or unforeseen biases and further aggravates issues of the reliability and consistency of generative AI outputs. Some of these issues have also been encountered in other generative AI models, in which issues such as hallucination, incoherence, and the generation of inappropriate content have been found.

Generative AI Market Ecosystem

By offering, transformer models to register the fastest growth rate between 2024–2030.

Transformer models are experiencing unprecedented growth in the Generative AI market due to their unparalleled ability to process and generate complex sequences of data, particularly in natural language processing tasks. Transformers utilize self-attention mechanisms to learn from dependencies and relationships existing between input sequences. They are thus able to provide highly coherent and contextually relevant outputs. The flexibility of transformer-based models such as OpenAI's GPT series is highly beneficial for a wide range of uses, such as text creation, translation, summarization, and answering questions. Therefore, transformer models are quickly becoming the preferred option for generative AI applications, leading to their remarkable expansion and control in the market.

By modality, text segment to capture the highest market share in 2024.

The text modality segment is estimated to hold the largest market share in the Generative AI market due to its multifaceted appeal and widespread applicability across industries. Textual data's pervasive presence across digital platforms and communication channels provides a rich and easily accessible source for training and deploying generative AI models. This ubiquity aligns with the growing demand for text-based applications such as natural language understanding, generation, summarization, and sentiment analysis in sectors ranging from customer service to marketing and finance. Growing demand for personalized content, conversational interfaces, and automated text creation also spur interest in the application of text-based generative AI solutions across different industries.

By application, synthetic data management is slated to witness the highest growth rate during the forecast period.

Synthetic data management is projected to be the fastest-growing application segment in the generative AI market due to its ability to address critical data challenges faced by organizations across industries. Most of the traditional methods of collecting and labeling data are highly time-consuming, expensive, and fraught with biases or other privacy concerns. Generative AI models, particularly those based on LLMs, can efficiently create high-quality synthetic data that mimics real-world data distributions while preserving privacy and addressing potential biases. Synthetic data may serve for training machine learning models, simulation of rare or extreme scenarios, augmentation of existing data, and anonymization. By utilizing artificial data, companies can speed up model development, reduce expenses, improve the effectiveness and resilience of their AI systems. Synthetic data holds great promise for overcoming regulatory and ethical barriers involving sensitive data and, therefore, has the potential for broader AI adoption in healthcare, finance, and cybersecurity applications.

By vertical, media & entertainment segment will account for the largest market share in 2024.

In the media and entertainment sector, generative AI solutions provide content creators to efficiently produce large amounts of high-quality multimedia content at a low cost, in an environment where innovation and differentiation are crucial. Generative AI can be utilized to create realistic characters, design music, produce visual effects, and curate personalized suggestions for viewers, leading to captivating and immersive experiences in gaming, animations, and other content. As media consumption patterns evolve and the need for varied and captivating content grows, the media and entertainment sector continues to invest heavily in generative AI technologies to drive innovation and shape the future of creating and consuming content.

By region, Asia Pacific is set to experience the fastest growth rate during the forecast period.

Asia Pacific is estimated to be the fastest growing region with China, Japan, South Korea, and India are some of the leading countries in Asia Pacific region in terms of AI innovation, driven by active startup ecosystems and benevolent government initiatives. For instance, city governments in China, such as Shanghai, have given computing vouchers to AI startups to subsidize the training cost of LLMs. The Ministry of Science and ICT in South Korea has dedicated USD 642.5 million until 2030 to invest in companies working on advanced AI chips. Together with other projects, the investment will entail the construction of new data centers and collaboration with cloud service providers and manufacturers of generative AI hardware.

The region's population size and diversity offer a large data pool, which is important for developing and improving AI models. Because of the regions varied linguistic and cultural landscapes and wealth of data, it is possible to develop generative AI solutions that are sensitive to the unique preferences and nuances of the local population. For example homegrown LLMs tailored specifically for the Japanese language are being developed by SB Intuitions a subsidiary of the multinational Japanese company SoftBank. By the end of 2024, SoftBank hopes to have these in-house LLMs fully developed with 350 billion parameters.

Key Market Players

The generative AI solution and service providers have implemented several types of organic and inorganic growth strategies, such as new product launches, product upgrades, partnerships, and agreements, business expansions, and mergers and acquisitions to strengthen their offerings in the market. Some major players in the generative AI market include OpenAI (US), Microsoft (US), AWS (US), Google (US), Adobe (US), along with SMEs and startups such as Anthropic (US), Midjourney (US), Insilico Medicine (Hong Kong), Lumen5 (Canada), and AI21 Labs (Israel).

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Scope of the Report

This research report categorizes the generative AI market based on offering, data modality, application, vertical, and region:

Gen AI Market By Offering:

• Software
  • Software, By Type
    • Rule Based Models
      • Knowledge Based Models
      • Script Based Models
      • Expert Systems
    • Statistical Models
      • Markov Models
      • Hidden Markov Models
      • Gaussian Mixture Models
      • Conditional Random Fields
    • Deep Learning
      • Feedforward Neural Networks
      • Recurrent Neural Networks
      • Long Short-Term Memory (LSTM) Networks
      • Gated Recurrent Units (GRUs)
    • Generative Adversarial Networks (GANs)
      • Conditional GANs
      • Style GANs
      • Cycle GANs
    • Autoencoders
      • Denoising Autoencoders
      • Variational Autoencoders
    • Convolutional Neural Networks (CNNs)
      • Image Generating CNNs
      • Video Generating CNNs
    • Transformer Models
      • Bidirectional Encoder Representations from Transformers (BERT)
      • Generative Pre-trained Transformer 1 (GPT-1)
      • Generative Pre-trained Transformer 2 (GPT-2)
      • Generative Pre-trained Transformer 3 (GPT-3)
      • Generative Pre-trained Transformer 4 (GPT-4)
      • Language Model for Dialogue Applications (LaMDA)
      • Other Transformer Models
  • Software, By Deployment Mode
    • On-premises
    • Cloud
• Services
  • Professional Services
    • Training and Consulting
    • System Integration and Implementation
    • Support and Maintenance
  • Managed Services

Gen AI Market By Data Modality

• Text
  • Text Generation
  • Text-Based Chatbots
  • Text Summarization
  • Text Translation
  • Others
• Image
  • Image Generation
  • Image Captioning
  • Image Editing and Enhancement
  • Others
• Video
  • Video Generation
  • Video Editing & Enhancement
  • Video Annotation
  • Others
• Audio and Speech
  • Text to Speech
  • Speech Recognition and Transcription
  • Music Generation
  • Others
• Code
  • Code Generation
  • Code Documentation
  • Code Translation & Transpilation
  • Others

By Application

• Business Intelligence and Visualization
  • Sales Intelligence
  • Marketing Intelligence
  • Finance Intelligence
  • Human Resource Intelligence
  • Operations Intelligence
• Content Management
  • Content Generation
  • Content Curation, Tagging & Categorization
  • Digital Marketing
  • Media Editing
• Synthetic Data Management
  • Synthetic Data Augmentation
  • Synthetic Data Training
• Search and Discovery
  • General Search
  • Insight Generation
• Automation and Integration
  • Personalization & Recommendation Systems
  • Customer Experience Management
  • Application Development & API Integration
  • Cybersecurity Intelligence
    • Fraud Detection & Prevention
    • Risk & Compliance Management
    • Automated Patch Management
    • Digital Forensics & Incident Analysis
    • Threat Simulation & Training
  • Generative Design AI
    • Design Exploration & Variation
    • Modelling & Prototyping
    • Product Renderings & Visual Collaterals
  • Other Applications

By Vertical

• Media & Entertainment
  • Media & Entertainment, By Text
    • Script and Dialogue Generation
    • Content Summarization
    • Language Translation and Localization
    • Interactive Storytelling
    • Automated News Generation
  • Media & Entertainment, By Video
    • Video Synthesis
    • Video Inpainting
    • Video Summarization
    • Visual Effects Enhancement
    • Virtual Set Design
  • Media & Entertainment, By Image
    • Content Creation
    • Style Transfer
    • Face and Character Generation
    • Image Super-Resolution
    • Automated Thumbnail Generation
  • Media & Entertainment, By Coding
    • Procedural Content Generation
    • Automated Animation Scripting
    • Code Comment Generation
    • Code Translation
    • Code Refactoring Suggestions
  • Media & Entertainment, By Audio & Speech
    • Music Composition
    • Voice Synthesis
    • Sound Effects Generation
    • Podcast Automation
    • Audio Restoration
• BFSI
  • BFSI, By Text
    • Automated Customer Support
    • Financial Document Summarization
    • Sentiment Analysis
    • Financial News Generation
    • Fraudulent Mail Detection
  • BFSI, By Video
    • Automated Video Surveillance
    • Virtual Financial Consultation
    • Visual-Cognitive Credit Assessment
    • Real Estate Property Evaluation
    • Interactive Banking Tutorials
  • BFSI, By Image
    • Signature Verification
    • Transaction Anomaly Detection
    • Document Digitization
    • Card Fraud Detection
    • Customer Identity Verification
  • BFSI, By Coding
    • Algorithmic Trading Strategies
    • Automated Report Generation
    • Code Review and Optimization
    • Fraud Detection Algorithm Development
    • Automated Compliance Checks
  • BFSI, By Audio & Speech
    • Financial Data Audio Transcription
    • Customer Support & Service
    • Automated Meeting Summaries
    • Financial Podcast Generation
    • Voice-Enabled Financial Apps
• Healthcare & Life Sciences
  • Healthcare & Life Sciences, By Text
    • Electronic Health Records (EHR)
    • Clinical Documentation Generation
    • Drug Interaction Prediction
    • Medical Literature Summarization
    • Patient Communication and Education
  • Healthcare & Life Sciences, By Video
    • Surgical Procedure Simulation
    • Rehabilitation Exercise Generation
    • Gait Analysis and Rehabilitation
    • Remote Patient Monitoring
    • Medical Training Videos
  • Healthcare & Life Sciences, By Image
    • Synthetic Medical Imaging
    • Tumor Detection and Segmentation
    • Radiation Therapy Planning
    • AR/VR Visualization For Anatomy
    • Synthetic Molecular Structure Generation
  • Healthcare & Life Sciences, By Coding
    • Automated Medical Report Generation
    • Algorithmic Medical Diagnosis
    • Drug Dosage Calculation
    • Healthcare Workflow Automation
    • Clinical Decision Support Systems
  • Healthcare & Life Sciences, By Audio & Speech
    • Voice Assistants For Patients
    • Speech Synthesis For Assistive Devices
    • Medical Dictation and Transcription
    • Speech-To-Text Medical Transcription
    • Customized Audiograms
• Manufacturing
  • Manufacturing, By Text
    • Technical Documentation
    • RFQ/RFP Generation
    • Automated Email Communication
    • Maintenance and Repair Manuals
    • Demand Forecasting and Inventory Management
  • Manufacturing, By Video
    • Process Optimization
    • Predictive Maintenance
    • Robotic Process Control
    • Worker Training and Safety
    • Supply Chain Visualization
  • Manufacturing, By Image
    • Product Design/3d Prototyping
    • Defect Detection
    • Customized Manufacturing
    • Generative Design
    • Visual Inspection and Quality Control
  • Manufacturing, By Coding
    • Automated Script Generation
    • Digital Twin Simulation
    • Data Analysis and Visualization
    • IoT Devices Integration
    • CNC Machine G-Codes
  • Manufacturing, By Audio & Speech
    • Acoustic Quality Control
    • Worker Assistance and Communication
    • Real-Time Monitoring and Alerts
    • Virtual Training and Simulations
    • Voice-Controlled Interfaces
• Retail & Ecommerce
  • Retail & Ecommerce, By Text
    • Product Descriptions
    • Chatbots and Customer Service
    • Social Media Content Creation
    • Email Marketing
    • Personalized Shopping Recommendations
  • Retail & Ecommerce, By Video
    • Product Showcase Videos
    • Video Advertisements
    • Virtual Store Tours
    • Instructional Videos
    • User-Generated Content Compilation
  • Retail & Ecommerce, By Image
    • Product Image Generation
    • Virtual Try-On
    • Interior Design Simulation
    • Customized Packaging Design
    • Visual Search Enhancement
  • Retail & Ecommerce, By Coding
    • Automated Inventory Management
    • Dynamic Pricing Optimization
    • Fraud Detection and Prevention
    • Supply Chain Optimization
    • E-Commerce Platform Customization
  • Retail & Ecommerce, By Audio & Speech
    • Voice Assistants
    • Personalized Audio Ads
    • Audio Product Guides
    • Voice Search Optimization
    • Customer Escalation Management
• Transportation & Logistics
  • Transportation & Logistics, By Text
    • Automotive Content Creation
    • Spare Parts Documentation
    • Incident Reports
    • Freight Documentation
    • Vehicle Maintenance Logs
  • Transportation & Logistics, By Video
    • Surveillance and Security
    • Driver Behavior Analysis
    • Loading and Unloading Optimization
    • Accident Reconstruction
    • Parking Management
  • Transportation & Logistics, By Image
    • Virtual Test Environments
    • Customized Vehicle Personalization
    • Damage Inspection
    • Route Optimization Visualization
    • Traffic Flow Simulation
  • Transportation & Logistics, By Coding
    • Algorithm Development For Autonomous Vehicles
    • Automated Data Processing For Logistics
    • Vehicle Control Systems
    • Predictive Analytics For Maintenance
    • Intelligent Scheduling and Resource Allocation
  • Transportation & Logistics, By Audio & Speech
    • Emergency Response and Assistance
    • Voice-Enabled Navigation
    • Driver State Monitoring
    • Speech Recognition For Driver Commands
    • Hands-Free Data Entry
• Construction & Real Estate
  • Construction & Real Estate, By Text
    • Automated Property Descriptions
    • Legal Document Generation
    • Project Planning Reports
    • Client Communication
    • Environmental Impact Assessments
  • Construction & Real Estate, By Video
    • Construction Progress Videos
    • Virtual Reality Property Walkthroughs
    • Safety Training Videos
    • Quality Assurance Inspections
    • Property Valuation Videos
  • Construction & Real Estate, By Image
    • Architectural Design Generation
    • Facade Visualization
    • Interior Layout Suggestions
    • Site Progress Monitoring
    • Virtual Staging
  • Construction & Real Estate, By Coding
    • Automated Building Information Modeling (Bim)
    • Construction Workflow Automation
    • Generative Design For Structures
    • Energy Efficiency Simulations
    • Maintenance and Repairs
  • Construction & Real Estate, By Audio & Speech
    • Construction Site Monitoring
    • Voice-Activated Property Tours
    • Automated Customer Support Calls
    • Occupancy Monitoring
    • Equipment Maintenance Alerts
• Energy & Utilities
  • Energy & Utilities, By Text
    • Energy Consumption Forecasting
    • Automated Reporting
    • Customer Support & Resolution
    • Regulatory Compliance
    • Energy Trading Insights
  • Energy & Utilities, By Video
    • Safety Compliance Monitoring
    • Renewable Energy Site Selection
    • Real-Time Equipment Monitoring
    • Energy Theft Detection
    • Workforce Training
  • Energy & Utilities, By Image
    • Infrastructure Inspection
    • Facility Layout Optimization
    • Environmental Monitoring
    • Grid Management and Optimization
    • GIS Data and Satellite Imagery Analysis
  • Energy & Utilities, By Coding
    • Optimized Energy Management Code
    • Predictive Maintenance Algorithms
    • Renewable Energy Simulation
    • Energy Trading Algorithms
    • Autonomous Grid Control
  • Energy & Utilities, By Audio & Speech
    • Acoustic Anomaly Detection
    • Emergency Response Coordination
    • Voice-Activated Energy Control
    • Multilingual Customer Support
    • Predictive Maintenance Alerts
• Government & Defense
  • Government & Defense, By Text
    • E-Citizen Services
    • Threat Intelligence
    • Automated Translation
    • Propaganda Detection
    • Policy Document Generation
  • Government & Defense, By Video
    • Simulated Training Scenarios
    • Surveillance Video Enhancement
    • Activity Recognition and Anomaly Detection
    • Drone and Uav Navigation
    • Visual Storyboarding
  • Government & Defense, By Image
    • Satellite Image Analysis
    • Facial Recognition
    • Camouflage Design
    • Object Detection Augmentation
    • Anomaly Detection In Surveillance
  • Government & Defense, By Coding
    • Automated Code Generation
    • Vulnerability Simulation
    • Code Obfuscation
    • Reverse Engineering Aid
    • Network Simulation and Optimization
  • Government & Defense, By Audio & Speech
    • Audio Deepfake Detection
    • Automated Speech Transcription
    • Dialect Generation and Recognition
    • Verbal Deception Detection
    • Voice Biometrics and Authentication
• IT & ITeS
  • IT & ITeS, By Text
    • Natural Language Interfaces
    • Automated Report Generation
    • Data Annotation For ML
    • Chatbots for IT Support
    • API Documentation
  • IT & ITeS, By Video
    • Video Training Modules
    • Automated Video Editing
    • Code Visualization
    • IT Process Simulation
    • Virtual IT Demos
  • IT & ITeS, By Image
    • UI/UX Design Prototyping
    • Logo and Branding Design
    • Image Data Augmentation
    • Fraud Detection
    • Document Digitization
  • IT & ITeS, By Coding
    • Code Auto-Completion
    • Automated Code Review
    • Bug Detection and Prevention
    • Refactoring Assistance
    • Code Comment Generation
  • IT & ITeS, By Audio & Speech
    • Voice User Interfaces (VUI)
    • Text-To-Speech Applications
    • Voice-Activated Commands
    • Voice Biometrics
    • Automated Call Logging
• Telecommunications
  • Telecommunications, By Text
    • Chatbots and Customer Support
    • Automated Network Documentation
    • Voice-To-Text Transcription
    • Automatic Billing and Invoicing
    • Content Generation For Marketing
  • Telecommunications, By Video
    • Video Quality Enhancement
    • Automated Video Summarization
    • VR Content Generation
    • Anomaly Detection In Video Feeds
    • Content Personalization For Video Streaming
  • Telecommunications, By Image
    • Network Infrastructure Visualization
    • Automatic Fault Detection
    • Antenna Placement Optimization
    • Facial Recognition For Customer Service
    • Real-Time Image Compression
  • Telecommunications, By Coding
    • Code Auto-Completion
    • Bug Detection and Repair
    • Code Summarization and Documentation
    • Code Translation
    • Automated Script Generation
  • Telecommunications, By Audio & Speech
    • Voice Authentication
    • Language Generation For Ivr Systems
    • Speech Emotion Recognition
    • Automated Call Center Quality Assurance
    • Voice Generation For Virtual Assistants
• Other Verticals

By Region

• North America
  • United States
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Finland
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Singapore
  • Australia and New Zealand (ANZ)
  • Rest of Asia Pacific
• Middle East and Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Turkey
  • Rest of Middle East and Africa
• Latin America
  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

Recent Developments:

• In March 2024, Microsoft and Adobe announced plans to bring Adobe Experience Cloud workflows and insights to Microsoft Copilot. The collaboration aims to leverage Microsoft 365 to help marketers overcome application and data silos and more efficiently manage everyday workflows.
• In March 2024, Adobe and NVIDIA, longstanding R&D partners, announced a new partnership to unlock the power of generative AI to further advance creative workflows. Adobe and NVIDIA will co-develop a new generation of advanced generative AI models with a focus on deep integration into applications the world’s leading creators and marketers use.
• In February 2024, the GSMA and IBM announced a new collaboration to support the adoption and skills of generative artificial intelligence (AI) in the telecom industry through the launch of GSMA Advance's AI Training program and the GSMA Foundry Generative AI program.
• In February 2024, OpenAI announced the introduction of Sora, a text-to-video generative AI model. Sora can generate videos for up to a minute while maintaining visual quality and adherence to the user’s prompt. This model is not publicly available as of now and limited access has been granted to handful of red teamers, visual artists, designers, and filmmakers.
• In February 2024, Google unveiled Gemini 1.5, an updated generative AI model that comes with long context understanding across different modalities. In the same month, Google also announced the launch of Gemma, a new family of lightweight open-weight models. Starting with Gemma 2B and Gemma 7B, these new models were “inspired by Gemini” and are available for commercial and research usage.
• In January 2024, Capgemini and AWS expanded their strategic collaboration to enable broad enterprise generative AI adoption. Through this collaboration, Capgemini and AWS are focusing on helping clients realize the business value of adopting generative AI while navigating challenges, including cost, scale, and trust.
• In December 2023, Microsoft launched InsightPilot, an automated data exploration system powered by a Generative AI. This innovative system is specifically designed to simplify the data exploration process. InsightPilot incorporates a set of meticulously designed analysis actions to simplify data exploration.
• In December 2023, Google unveiled an unprecedented Generative AI named VideoPoet, which is multimodal and capable of generating videos. This groundbreaking model introduces video generation functionalities previously unseen in generative AI.
• In December 2023, Axel Springer and OpenAI announced a global partnership to strengthen independent journalism in the age of artificial intelligence (AI). The initiative will enrich users’ experience with ChatGPT by adding recent and authoritative content on various topics and explicitly values the publisher’s role in contributing to OpenAI’s products
• In November 2023, OpenAI announced the launch of GPT-4 Turbo, a next-generation model of GPT-4. GPT-4 Turbo is more capable and has knowledge of world events up to April 2023. It has a 128k context window to fit the equivalent of more than three hundred pages of text in a single prompt.

Frequently Asked Questions (FAQ):

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