Tag: large language models

Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?
Encoder-Decoder vs Decoder-Only Transformers: Which Architecture Powers Today’s Large Language Models?

Tamara Weed, Jan, 25 2026

Decoder-only transformers dominate modern LLMs for speed and scalability, but encoder-decoder models still lead in precision tasks like translation and summarization. Learn which architecture fits your use case in 2026.

Categories:

Science & Research

Tags:

encoder-decoder transformer decoder-only transformer large language models LLM architecture transformer models
Prompt Chaining vs Agentic Planning: Which LLM Pattern Fits Your Task?
Prompt Chaining vs Agentic Planning: Which LLM Pattern Fits Your Task?

Tamara Weed, Jan, 24 2026

Prompt chaining and agentic planning are two ways to make LLMs handle complex tasks. One is simple and cheap. The other is smart but costly. Learn which one fits your use case-and why most teams get it wrong.

Categories:

Science & Research

Tags:

prompt chaining agentic planning LLM patterns AI workflows large language models
Context Windows in Large Language Models: Limits, Trade-Offs, and Best Practices
Context Windows in Large Language Models: Limits, Trade-Offs, and Best Practices

Tamara Weed, Jan, 11 2026

Context windows in large language models define how much text an AI can process at once. Learn the limits of today’s top models, the trade-offs of longer windows, and practical strategies to use them effectively without wasting time or money.

Categories:

Science & Research

Tags:

context window LLM context large language models token limit Claude 3.7 GPT-4 Turbo Gemini 1.5
Parameter Counts in Large Language Models: Why Size and Scale Matter for Capability
Parameter Counts in Large Language Models: Why Size and Scale Matter for Capability

Tamara Weed, Dec, 20 2025

Parameter count in large language models determines their reasoning power, knowledge retention, and task performance. Bigger isn't always better-architecture, quantization, and efficiency matter just as much as raw size.

Categories:

Science & Research

Tags:

large language models parameter count LLM size model scaling AI capabilities
How Large Language Models Communicate Uncertainty to Avoid False Answers
How Large Language Models Communicate Uncertainty to Avoid False Answers

Tamara Weed, Dec, 19 2025

Large language models often answer confidently even when they're wrong. Learn how new methods detect when they're out of their depth-and how to make them communicate uncertainty honestly to build real trust.

Categories:

Science & Research

Tags:

knowledge boundaries LLM uncertainty large language models AI confidence hallucination control
How Large Language Models Learn: Self-Supervised Training at Internet Scale
How Large Language Models Learn: Self-Supervised Training at Internet Scale

Tamara Weed, Sep, 30 2025

Large language models learn by predicting the next word across trillions of internet text samples using self-supervised training. This method, used by GPT-4, Llama 3, and Claude 3, enables unprecedented language understanding without human labeling - but comes with major costs and ethical challenges.

Categories:

Science & Research

Tags:

large language models self-supervised learning LLM training transformer models internet-scale data
Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained
Reasoning in Large Language Models: Chain-of-Thought, Self-Consistency, and Debate Explained

Tamara Weed, Aug, 9 2025

Chain-of-Thought, Self-Consistency, and Debate are transforming how large language models solve complex problems. Learn how these methods work, when to use them, and why they’re becoming essential in AI systems by 2025.

Categories:

Science & Research

Tags:

chain-of-thought self-consistency debate reasoning LLM reasoning large language models

Recent post

Categories

Archives

Tags

vibe coding large language models generative AI AI coding tools LLM security AI governance prompt engineering AI coding AI compliance transformer models AI agents AI code security AI implementation GitHub Copilot data privacy AI development LLM architecture GPU optimization AI in healthcare Parapsychological Association

© 2026. All rights reserved.