Archive: 2026/01
Procurement and Contracts with Generative AI: Vendor Assessments and Clause Libraries
Generative AI is transforming procurement by automating vendor assessments and contract clause management. Learn how AI reduces review time by 85%, uncovers hidden risks, and builds smart clause libraries-while still requiring human oversight.
- Jan 31, 2026
- Collin Pace
- 9
- Permalink
Chain-of-Thought Prompting in Generative AI: Master Step-by-Step Reasoning for Complex Tasks
Chain-of-thought prompting improves AI reasoning by making models show their work step by step. Learn how it boosts accuracy on math, logic, and decision tasks-and when it's worth the cost.
- Jan 29, 2026
- Collin Pace
- 7
- Permalink
Parallel Transformer Decoding Strategies for Low-Latency LLM Responses
Parallel decoding strategies like Skeleton-of-Thought and FocusLLM cut LLM response times by up to 50% without losing quality. Learn how these techniques work and which one fits your use case.
- Jan 27, 2026
- Collin Pace
- 7
- Permalink
Low-Latency AI Coding Models: How Realtime Assistance Is Reshaping Developer Workflows
Low-latency AI coding models deliver real-time suggestions in IDEs with under 50ms delay, boosting productivity by 37% and restoring developer flow. Learn how Cursor, Tabnine, and others are reshaping coding in 2026.
- Jan 26, 2026
- Collin Pace
- 7
- Permalink
How to Negotiate Enterprise Contracts with Large Language Model Providers
Learn how to negotiate enterprise contracts with large language model providers to avoid hidden costs, legal risks, and poor performance. Key clauses on accuracy, data security, and exit strategies are critical.
- Jan 25, 2026
- Collin Pace
- 6
- Permalink
Understanding Tokenization Strategies for Large Language Models: BPE, WordPiece, and Unigram
Learn how BPE, WordPiece, and Unigram tokenization work in large language models, why they matter for performance and multilingual support, and how to choose the right one for your use case.
- Jan 24, 2026
- Collin Pace
- 5
- Permalink
Cost Management for Large Language Models: Pricing Models and Token Budgets
Learn how to control LLM costs with token budgets, pricing models, and optimization tactics. Reduce spending by 30-50% without sacrificing performance using real-world strategies from 2026’s leading practices.
- Jan 23, 2026
- Collin Pace
- 9
- Permalink
Code Generation with Large Language Models: How Much Time You Really Save (and Where It Goes Wrong)
LLMs like GitHub Copilot can cut coding time by 55%-but only if you know how to catch their mistakes. Learn where AI helps, where it fails, and how to use it without introducing security flaws.
- Jan 22, 2026
- Collin Pace
- 7
- Permalink
Confidential Computing for Privacy-Preserving LLM Inference: How Secure AI Works Today
Confidential computing enables secure LLM inference by protecting data and model weights inside hardware-secured enclaves. Learn how AWS, Azure, and Google implement it, the real-world trade-offs, and why regulated industries are adopting it now.
- Jan 21, 2026
- Collin Pace
- 8
- Permalink
Search-Augmented Large Language Models: RAG Patterns That Improve Accuracy
RAG (Retrieval-Augmented Generation) boosts LLM accuracy by pulling real-time data from your documents. Discover how it works, why it beats fine-tuning, and the advanced patterns that cut errors by up to 70%.
- Jan 20, 2026
- Collin Pace
- 7
- Permalink
Value Capture from Agentic Generative AI: End-to-End Workflow Automation
Agentic generative AI is transforming enterprise workflows by autonomously executing end-to-end processes-from customer service to supply chain-cutting costs by 20-60% and boosting productivity without human intervention.
- Jan 19, 2026
- Collin Pace
- 10
- Permalink
Reusable Prompt Snippets for Common App Features in Vibe Coding
Reusable prompt snippets help developers save time by reusing tested AI instructions for common features like login forms, API calls, and data tables. Learn how to build, organize, and use them effectively with Vibe Coding tools.
- Jan 17, 2026
- Collin Pace
- 6
- Permalink
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