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Token Prediction

3 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
May 21, 2026 · Artificial Intelligence

Can a New Training Objective Make LLMs See Further and Reason Better?

The paper introduces Next‑ToBE, a training‑objective modification that replaces the one‑hot next‑token label with a soft distribution covering a future token window, thereby activating latent anticipatory capacity in large language models and yielding significant gains in token‑hit rates, reasoning accuracy, and training efficiency.

Anticipatory CapacityLarge Language ModelsNext-ToBE
0 likes · 11 min read
Can a New Training Objective Make LLMs See Further and Reason Better?
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
May 21, 2026 · Artificial Intelligence

Demystifying AI Large Models: Architecture, Principles, and Workflow

The article explains that large language models are massive probability engines built on the Transformer architecture with self‑attention, trained through costly pre‑training on trillions of tokens, then refined by instruction fine‑tuning and RLHF, ultimately predicting the next token to generate text.

Large Language ModelPretrainingRLHF
0 likes · 5 min read
Demystifying AI Large Models: Architecture, Principles, and Workflow
Subtle Storm
Subtle Storm
Jan 28, 2026 · Artificial Intelligence

How Large Language Models Unlock Intelligent Capabilities (Part 1)

Large language models have surged in popularity, handling code, copy, summaries, and customer‑service tasks, yet many wonder if they truly understand; this article explains their core mechanisms—massive text ingestion, next‑token prediction, and the Transformer‑based attention architecture that enables sophisticated context comprehension.

AI FundamentalsAttention MechanismLarge Language Models
0 likes · 6 min read
How Large Language Models Unlock Intelligent Capabilities (Part 1)