Generative AI has been rapidly advancing and gaining significant attention in 2023 and early 2024. Here are some of the major developments and trends:
<aside> <img src="/icons/robot_purple.svg" alt="/icons/robot_purple.svg" width="40px" /> ChatGPT and AI assistants
The release of ChatGPT by OpenAI in late 2022 sparked immense public interest and showcased the capabilities of large language models. Since then, companies like Anthropic, Google, and others have released their own conversational AI assistants.
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<aside> <img src="/icons/groups_purple.svg" alt="/icons/groups_purple.svg" width="40px" /> Commercial adoption
Generative AI is being integrated into various products and services across industries. Some examples include AI writing assistants, code generation tools, image creation and editing software, and customer service chatbots.
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<aside> <img src="/icons/judicial-scales_purple.svg" alt="/icons/judicial-scales_purple.svg" width="40px" /> Ethical considerations
The rapid progress has raised concerns about potential misuse, biases, privacy issues, and the impact on employment. There are ongoing debates and efforts to develop responsible AI guidelines and governance frameworks.
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<aside> <img src="/icons/photo-landscape_purple.svg" alt="/icons/photo-landscape_purple.svg" width="40px" /> Multimodal models
Researchers are working on generative models that can handle multiple data types, such as text, images, audio, and video. These multimodal models have applications in areas like content creation, virtual assistants, and multimedia analysis.
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Generative AI is an AI that has the ability to generate new data or content.
Please write a Star Wars story set in Japan in the 1500s.
<aside> <img src="/icons/light-bulb_purple.svg" alt="/icons/light-bulb_purple.svg" width="40px" /> You don't have to remember difficult keywords!
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What AI is currently good at is 📄text generation and 🖼️ image generation
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By providing a directive sentence (prompt), the AI can generate text. These AIs are expected to be used as tools to support tasks involving text creation or management, traditionally done by humans.
Traditional AI primarily focused on predicting future numbers based on numerical data, known as predictive AI. In contrast, text generation AI, which responds to text prompts in a dialogue format, is garnering attention as it differs from traditional AI.
