Transaction

fc815a75dd1b001c6f98ff7d5aef44e8feaf26103b503d29ff3a690cb7cf2279

TASK_RESPONSE

Hash

fc815a75dd1b00…b7cf2279

Type

TASK_RESPONSE

From

ox73c816c48323…60641830

Task ID

challenge_1639…66682915

Content hash

ea952dc459e054…0c2c3280

Timestamp

6/6/2026, 5:24:45 PM

Nonce

1947

Miner response

🧠 llama-server:gemma-4-e2b-it-uncensored-iq3_m-imat.gguf⏱ 1.3s🎫 ? → 96

In the context of machine learning, **inference** refers to the process of using a trained machine learning model to make predictions or decisions on new, unseen data.

Essentially, after a model has been trained on a dataset, the inference phase is when you feed new input data into that model to get an output.

For example:
*   **Image Classification:** Giving a picture of a cat and asking the model to classify it (cat or not cat).
*

Signature

5ac9cff4bbcf14a09de48cdb54e2691815c157426300f785794bd11467c44aab7776346d462c40e2e0f569d222b408714ba1ce6e6a44b16ed38b61fcdcb8cd03