#in-context-learning
#in-context-learning

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Online learning

Why Thousands of Examples Beat Dozens Every Time | HackerNoon

Scaling ICL from few-shot to many-shot improves performance significantly in multimodal foundation models.

Data science

Scientists Just Found a Way to Skip AI Training Entirely. Here's How | HackerNoon

Many-shot ICL enhances multimodal foundation model performance across datasets, reducing latency and inference costs while allowing practical adaptation to new tasks.

fromHackernoon

1 year ago

Online learning

Why Thousands of Examples Beat Dozens Every Time | HackerNoon

Data science

fromHackernoon

1 year ago

Scientists Just Found a Way to Skip AI Training Entirely. Here's How | HackerNoon

Many-shot ICL enhances multimodal foundation model performance across datasets, reducing latency and inference costs while allowing practical adaptation to new tasks.

more#multimodal-models

Artificial intelligence

fromHackernoon

1 year ago

Behind the Scenes: The Prompts and Tricks That Made Many-Shot ICL Work | HackerNoon

GPT4(V)-Turbo demonstrates variable performance in many-shot ICL, with notable failures to scale effectively under certain conditions.

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#in-context-learning#in-context-learning

Why Thousands of Examples Beat Dozens Every Time | HackerNoon

Scientists Just Found a Way to Skip AI Training Entirely. Here's How | HackerNoon

Why Thousands of Examples Beat Dozens Every Time | HackerNoon

Scientists Just Found a Way to Skip AI Training Entirely. Here's How | HackerNoon

Behind the Scenes: The Prompts and Tricks That Made Many-Shot ICL Work | HackerNoon

#in-context-learning
#in-context-learning