AI Development Milestones

2024 has been a year of rapid advancements in AI, with major releases from leading AI companies. The focus has been on improving model capabilities, efficiency, and accessibility, while also pushing the boundaries of what AI can do.   August Google introduces Gemini Live ; mobile conversational experience for free-flowing dialogues with Gemini Introduces 10 new voice options for more natural interactions Features mid-conversation interruptions and hands-free operation Expanded app integrations including Keep, Tasks, YouTube Music, and upcoming Calendar extension Mistral AI introduces La Plateforme , a toolkit for creating custom AI agents , catering to both developers and non-technical users Agents API: For deep integration of Mistral’s AI models into applications La Plateforme Agent Builder : No-code solution with an intuitive interface for easy AI agent creation July OpenAI begins rolling out Advanced Voice Mode for ChatGPT Offers hyper-realistic audio interactions powered ...

2023 was a landmark year for AI, characterized by groundbreaking advancements in large language models, multimodal AI, text-to-video generation, and AI speech synthesis. The year witnessed a remarkable acceleration in AI capabilities, with innovative applications permeating mainstream products and services. This rapid progress sparked both excitement and concerns about the technology's societal impact, marking a pivotal moment in the evolution of artificial intelligence. December Mistral releases Mixtral 8x7B Mixture-of-experts model with 47B parameters Demonstrates efficiency and strong performance Suno AI introduces its state-of-the-art audio generation model Specializes in creating high-quality, natural-sounding audio from text Finds applications in entertainment, accessibility, and content creation Google integrates Gemini into Bard Significantly enhances Bard's functionality with multimodal capabilities Improves Bard's reasoning, understanding, and generatio...

  2022 witnessed groundbreaking leaps in AI capabilities, particularly in large language models, text-to-image generation, and multimodal AI. This year marked a significant shift in public perception and engagement with AI technologies, as tools like DALL-E 2 and ChatGPT captured the imagination of both the tech industry and the general public. November OpenAI releases ChatGPT Plus Subscription plan for ChatGPT with additional features Offers priority access and improved performance October Stability AI releases Stable Diffusion Open-source text-to-image model Allows for local installation and customization, democratizing access to AI image generation May Google introduces PaLM (Pathways Language Model) 540-billion parameter language model Demonstrates impressive performance on language understanding and generation tasks April OpenAI releases DALL-E 2 Advanced version of the image generation AI Capable of generating and editing high-resolution images from text descripti...

2021 heralded a new era of AI accessibility and versatility, with major strides in conversational AI and image generation. The introduction of ChatGPT and DALL·E opened up exciting possibilities for creative applications and natural language interactions, bringing AI capabilities closer to everyday users. November OpenAI releases ChatGPT Conversational AI based on GPT-3.5 Designed for natural language interactions Quickly gained widespread popularity and adoption June GitHub and OpenAI launch GitHub Copilot AI pair programmer that suggests code and entire functions in real-time May Google announces LaMDA (Language Model for Dialogue Applications) Significant advancement in conversational AI Built on previous work like BERT Aims at more natural and engaging dialogue interactions January OpenAI announces DALL·E AI model that generates images from textual descriptions Demonstrates the potential of multimodal AI systems Opens new possibilities for AI in creative and design f...

2020 was a landmark year in AI development, dominated by the release of GPT-3 but also featuring significant advancements in protein folding, autonomous driving, and AI-assisted scientific discovery. This year demonstrated AI's potential to revolutionize multiple fields, from natural language processing to fundamental scientific research.   December DeepMind announces AlphaFold 2 AI system for predicting protein structures Solves a 50-year-old grand challenge in biology Potential to accelerate drug discovery and understanding of disease September Microsoft obtains exclusive licensing rights to GPT-3 for commercial use Marks a significant industry move in the commercialization of advanced AI models Raises discussions about access and control of powerful AI technologies June OpenAI releases GPT-3 175 billion parameter language model Demonstrates unprecedented capabilities in various language tasks Sparks widespread discussions about the potential and implications of large...

2019 was characterized by cautious innovation in language models, alongside significant breakthroughs in image manipulation, audio synthesis, and AI ethics. This year highlighted the delicate balance between pushing the boundaries of AI capabilities and addressing ethical concerns surrounding powerful AI technologies. November OpenAI fully releases GPT-2 Decision made after research indicated no significant malicious use Marks a milestone in responsible AI deployment June Nvidia releases GauGAN AI-powered tool that turns simple sketches into photorealistic landscapes August OpenAI releases a partial version of GPT-2 Released version has 774 million parameters Full version initially withheld due to concerns about potential misuse January IBM unveils Project Debater First AI system capable of debating humans on complex topics Demonstrates ability to formulate coherent arguments and rebuttals     2020    2018

2018 marked a turning point in natural language processing and generative AI, laying the groundwork for future breakthroughs. The introduction of BERT by Google AI and GPT by OpenAI set new benchmarks in language understanding and generation, paving the way for more sophisticated AI systems in the years to come. October Google AI releases BERT (Bidirectional Encoder Representations from Transformers) Breakthrough in natural language processing Outperformed previous methods on various language tasks Developed by Google AI researchers, including those from DeepMind June OpenAI announces GPT (Generative Pre-trained Transformer) Demonstrated impressive text generation capabilities Laid the foundation for future GPT models     2019    Home