From 2487c065b80e943f94282f967302c8c1a5c9eeaa Mon Sep 17 00:00:00 2001 From: Graniet 75 Date: Thu, 7 Sep 2023 20:25:04 +0200 Subject: [PATCH] Removing S3 link follow hacker one report. (#1463) --- few-shot-learning-gpt-neo-and-inference-api.md | 3 --- 1 file changed, 3 deletions(-) diff --git a/few-shot-learning-gpt-neo-and-inference-api.md b/few-shot-learning-gpt-neo-and-inference-api.md index bdffdb9c4d..8d4f18ec80 100644 --- a/few-shot-learning-gpt-neo-and-inference-api.md +++ b/few-shot-learning-gpt-neo-and-inference-api.md @@ -12,9 +12,6 @@ authors: In many Machine Learning applications, the amount of available labeled data is a barrier to producing a high-performing model. The latest developments in NLP show that you can overcome this limitation by providing a few examples at inference time with a large language model - a technique known as Few-Shot Learning. In this blog post, we'll explain what Few-Shot Learning is, and explore how a large language model called GPT-Neo, and the 🤗 Accelerated Inference API, can be used to generate your own predictions. - - - ## What is Few-Shot Learning?