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Transaction

326fe7e3d36f582c77045b4f195db18d0717666de7c8d70edd78e2369e9ab3c1

TASK_RESPONSE
Hash
326fe7e3d36f58…9e9ab3c1
Type
TASK_RESPONSE
Content hash
2d5a789baf18e0…e6b6f83a
Timestamp
6/6/2026, 3:43:45 PM
Nonce
1206
Miner response
🧠 llama-server:gemma-4-e2b-it-uncensored-iq3_m-imat.gguf1.3s🎫 ?96
In the context of machine learning, **inference** is the process of using a trained machine learning model to make predictions on new, unseen data. Essentially, once a model has been trained on a dataset, inference is when you feed new input data into that model to obtain an output or prediction. For example, if you have trained an image classification model, the inference step is when you show a new image to the model, and it outputs the predicted category (e.g.,
Signature
0711743280be25ce5aa4b462179734a7a556a5478e91f541c599642e9c70589b7dc2feb2107ceb35092424f6ad47552ee8853533c7395a2590abbd21a5413608