Behind the Scenes: The Prompts and Tricks That Made Many-Shot ICL Work Post date June 2, 2025 Post author By The FewShot Prompting Publication Post categories In few-shot-learning, gemini-1.5-pro, gpt-4o, image-classification, large-language-models, many-shot-in-context-learning, model-data-efficiency, multimodal-foundation-models
Scientists Just Found a Way to Skip AI Training Entirely. Here’s How Post date June 2, 2025 Post author By The FewShot Prompting Publication Post categories In few-shot-learning, gemini-1.5-pro, gpt-4o, image-classification, large-language-models, many-shot-in-context-learning, model-data-efficiency, multimodal-foundation-models
How Many Examples Does AI Really Need? New Research Reveals Surprising Scaling Laws Post date June 2, 2025 Post author By The FewShot Prompting Publication Post categories In few-shot-learning, gemini-1.5-pro, gpt-4o, image-classification, large-language-models, many-shot-in-context-learning, model-data-efficiency, multimodal-foundation-models
The Science Behind Many-Shot Learning: Testing AI Across 10 Different Vision Domains Post date June 2, 2025 Post author By The FewShot Prompting Publication Post categories In few-shot-learning, gemini-1.5-pro, gpt-4o, image-classification, large-language-models, many-shot-in-context-learning, model-data-efficiency, multimodal-foundation-models
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