Seattle Skeptics on AI

LLM Portfolio Management: Balancing APIs, Open-Source, and Custom Models
LLM Portfolio Management: Balancing APIs, Open-Source, and Custom Models

Tamara Weed, May, 1 2026

Master LLM Portfolio Management by balancing APIs, open-source, and custom models. Learn how to reduce costs by up to 62% while improving accuracy and compliance in 2026.

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Scaling Laws in Practice: When to Stop Training Large Language Models
Scaling Laws in Practice: When to Stop Training Large Language Models

Tamara Weed, Apr, 30 2026

Stop wasting compute. Learn when to move past Chinchilla optimality and enter the overtraining regime to balance training costs with inference performance.

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Chain-of-Thought Prompting Guide: Boosting LLM Reasoning and Factuality
Chain-of-Thought Prompting Guide: Boosting LLM Reasoning and Factuality

Tamara Weed, Apr, 29 2026

Learn how Chain-of-Thought prompting improves LLM reasoning by breaking complex problems into steps. Discover best practices, scaling secrets, and trade-offs.

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Mastering Inline Code Context for Better Vibe-Coded Changes
Mastering Inline Code Context for Better Vibe-Coded Changes

Tamara Weed, Apr, 27 2026

Stop fighting your AI coding assistant. Learn how to use inline code context and context engineering to reduce revisions by 73% and master the art of vibe coding.

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Style Guides for Prompts: Achieving Consistent Code Across AI Sessions
Style Guides for Prompts: Achieving Consistent Code Across AI Sessions

Tamara Weed, Apr, 26 2026

Learn how to create prompt style guides to ensure AI-generated code remains consistent across sessions, reducing technical debt and review time.

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How to Choose Embedding Dimensionality for LLM RAG Systems
How to Choose Embedding Dimensionality for LLM RAG Systems

Tamara Weed, Apr, 25 2026

Learn how to balance retrieval precision and computational cost by choosing the right embedding dimensionality for your LLM RAG system.

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How Multimodal Generative AI is Transforming Digital Accessibility
How Multimodal Generative AI is Transforming Digital Accessibility

Tamara Weed, Apr, 24 2026

Explore how multimodal generative AI is ending the 'accessibility gap' through adaptive interfaces, real-time narration, and conversational descriptions for all users.

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How LLMs Use Probabilities to Pick the Next Word
How LLMs Use Probabilities to Pick the Next Word

Tamara Weed, Apr, 23 2026

Learn how Large Language Models use token prediction and probability distributions to generate text, from the softmax function to decoding strategies like Top-P and Temperature.

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Choosing the Right Embedding Model for Enterprise RAG Pipelines
Choosing the Right Embedding Model for Enterprise RAG Pipelines

Tamara Weed, Apr, 22 2026

Learn how to select the best embedding models for your enterprise RAG pipelines. Compare BGE-M3, OpenAI, and NVIDIA models to optimize accuracy and latency.

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Document Processing with Multimodal LLMs: OCR, Tables, and Visual Reasoning
Document Processing with Multimodal LLMs: OCR, Tables, and Visual Reasoning

Tamara Weed, Apr, 21 2026

Explore how Multimodal LLMs are replacing traditional OCR with visual reasoning to extract complex tables, handwritten notes, and structured data from documents.

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Speech and Audio Understanding in Multimodal Large Language Models: New Capabilities
Speech and Audio Understanding in Multimodal Large Language Models: New Capabilities

Tamara Weed, Apr, 20 2026

Explore how Multimodal Large Language Models (LAMs) are revolutionizing audio understanding, from spectrogram processing to real-time voice reasoning.

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Vibe Coding in 2025: How AI is Changing the Software Engineering Role
Vibe Coding in 2025: How AI is Changing the Software Engineering Role

Tamara Weed, Apr, 19 2026

Explore how vibe coding is transforming software engineering in 2025, shifting the role from manual coding to AI orchestration and high-level system architecture.

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