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A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset
In this tutorial, we explore the lambda/hermes-agent-reasoning-traces dataset to understand how agent-based models think, use tools, and generate responses across multi-turn conversations. We start by…
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A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
EPOCHS = 15 opt = torch.optim.AdamW(model.parameters(), lr=1e-3, weight_decay=1e-4) sched = torch.optim.lr_scheduler.CosineAnnealingLR(opt, T_max=EPOCHS)…
A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning
import subprocess, sys subprocess.check_call() import sys as _sys for _m in :…
Why Powerful Machine Learning Is Deceptively Easy
to kill the Minotaur, but the true danger is not only the…
International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2026
Apple is presenting new research at the annual International Conference on Acoustics,…
How to Get Hired in the AI Era
If you’re applying for junior roles right now, you’ve probably noticed something…
Reinforced Agent: Inference-Time Feedback for Tool-Calling Agents
This paper was accepted at the Fifth Workshop on Natural Language Generation,…
Churn Without Fragmentation: How a Party-Label Bug Reversed My Headline Finding
Between 2018 and 2022, English urban councils became nearly twice as volatile.…