π― Core Features 15 Expert Theories for professional brand naming Bilingual Support Korean/English for global brands Unified Evaluation System creativity/memorability/relevance scores Real-time Visualization theory-specific custom designs
π¬ Applied Theories Cognitive Theories (4) π¦ Square Theory - Semantic square structure with 4-word relationships π Sound Symbolism - Psychological connections between phonemes and meaning π§ Cognitive Load - Minimized processing for instant recognition ποΈ Gestalt Theory - Perceptual principles where whole exceeds parts
Creative Theories (3) π Conceptual Blending - Merging concepts to create new meanings π§ SCAMPER Method - 7 creative transformation techniques πΏ Biomimicry - Nature-inspired wisdom from 3.8 billion years of evolution
Cultural Theories (3) π Jung's Archetype - 12 universal archetypes for emotional connection π Linguistic Relativity - Cross-cultural thinking patterns consideration 𧬠Memetics - Cultural transmission and evolutionary potential
Differentiation Theories (3) β‘ Von Restorff Effect - Uniqueness for 30x better recall π¨ Color Psychology - Emotional associations and color meanings π Network Effects - Value maximization through network structures
π« Special Features Each theory provides unique visualizations and customized analysis:
Square Theory β 4-corner relationship diagram Blending β Concept fusion flowchart Color β Interactive color palette display Theory-specific insights for each approach
π΅ Dream come true for content creators! TIGER AI can extract voice, effects & music from ANY audio file π€― This lightweight model uses frequency band-split technology to separate speech like magic. Kudos to @fffiloni for the amazing demo! fffiloni/TIGER-audio-extraction
It's just become easier to share your apps on the biggest AI app store (aka HF spaces) for unlimited storage, more visibility and community interactions.
Just pick a React, Svelte, or Vue template when you create your space or add app_build_command: npm run build in your README's YAML and app_file: build/index.html in your README's YAML block.
Just completed the AI Agents course and wow, that capstone project really makes you understand how to build agents that can handle real-world complexity!
The final project uses the GAIA dataset - your agent has to solve tasks like analyzing Excel files, processing audio recordings, answering questions about YouTube videos, and diving into research papers. This isn't toy examples, it's the messy, multimodal stuff agents need to handle in practice.
Whether youβre just getting started with agents or want to go deeper with tools like LangChain, LlamaIndex, and SmolAgents, this course has tons of useful stuff. A few key insights: - Code agents are incredibly versatile once you get the architecture right - The sweet spot is finding the right balance of guidance vs autonomy for each use case - Once the logic clicks, the possibilities really are endless - it's like letting LLMs break free from the chatbox
The course is free and the certification deadline is July 1st, 2025.