In 2025, artificial intelligence capable of understanding and processing information in various formats – text, images, audio, and even video – has become commonplace. Multimodal AI models, such as advanced versions of OpenAI's ChatGPT-4o, Google's Gemini, and Anthropic's Claude, have opened new horizons for human-machine interaction. However, to truly unlock their potential, it's important to learn how to effectively formulate prompts by combining different data types. This guide will help you with that.
What is Multimodal AI?
In short, it's AI that isn't limited to one type of information. It can "see" an image you upload, "hear" your voice query, and "read" accompanying text, then generate a response using one or more of these modalities. This makes communication with AI more natural and allows for solving more complex problems.
Strategies for Effectively Using Multimodal Prompts:
- Combining Text and Images:
- Ask questions about an image: "What is this historical building in the photo, and in what architectural style was it built?"
- Generate content based on visuals: "Write a short story inspired by this painting." or "Create a product description based on these photos."
- Analyze data: "Analyze this graph and highlight the main trends. Write a brief summary."
- Get instructions: "This photo shows a disassembled mechanism. Provide step-by-step assembly instructions."
- Using Voice in Conjunction with Other Modalities:
- Voice commands for visual tasks: Point your camera at an object and ask aloud: "What is this? Tell me more."
- Dictation with context: Dictate an idea for an article while a related document or image is open on the screen for the AI to consider that context.
- Clarification through dialogue: If the AI misunderstood your text or visual prompt, clarify it with your voice for quicker correction. Advanced 2025 models excel at recognizing intonations and emotional coloring.
- Working with Video (if supported by your model):
- Summarization: "Provide a brief summary of this video report."
- Information retrieval: "At what minute in this video is X discussed?"
- Description generation: "Create a text description for this video clip for platform upload."
Practical Use Cases in 2025:
- Education: A student uploads a photo of a complex biological diagram and asks the AI to explain it aloud, asking clarifying questions.
- Work: A manager uploads a PDF report with charts and tables and asks the AI to prepare a brief presentation with key findings, then uses voice to make edits to the generated slides.
- Creativity: A designer uploads a logo sketch, describes the desired style and color palette in text, then asks the AI to generate several options and selects the best one using voice.
- Daily Life: A traveler uses their phone camera to photograph a menu in a foreign language, and the AI not only translates the text but also reads out the dish names and descriptions aloud, using visual context for accuracy.
Tips for Better Results:
- Be specific: The more accurately you describe the task and provide context through different modalities, the better the result will be.
- Understand limitations: Each model has its strengths and weaknesses in processing different data types. Experiment.
- Iterate: Don't be afraid to clarify and rephrase prompts, adding or changing input modalities.
- Verify: Especially when working with important information, always critically evaluate the AI's responses, as errors or "hallucinations" are still possible.
The future lies in even deeper and more seamless integration of various information input and output methods. Multimodal AI will continue to evolve, making our interaction with technology even more intuitive and powerful. Start mastering these capabilities today!