Archive: 2026/01 - Page 2
Supply Chain Security for LLM Deployments: Securing Containers, Weights, and Dependencies
LLM supply chain security is critical but often ignored. Learn how to secure containers, model weights, and dependencies to prevent breaches before they happen.
- Jan 16, 2026
- Collin Pace
- 10
- Permalink
Accuracy Tradeoffs in Compressed Large Language Models: What to Expect
Compressed LLMs save cost and speed but sacrifice accuracy in subtle, dangerous ways. Learn what really happens when you shrink a large language model-and how to avoid costly mistakes in production.
- Jan 14, 2026
- Collin Pace
- 9
- Permalink
How to Use Cursor for Multi-File AI Changes in Large Codebases
Learn how to use Cursor 2.0 for multi-file AI changes in large codebases, including best practices, limitations, step-by-step workflows, and how it compares to alternatives like GitHub Copilot and Aider.
- Jan 10, 2026
- Collin Pace
- 10
- Permalink
Long-Context Transformers for Large Language Models: How to Extend Windows Without Losing Accuracy
Long-context transformers let LLMs process huge documents without losing accuracy. Learn how attention optimizations like FlashAttention-2 and attention sinks beat drift, what models actually work, and where to use them - without wasting money or compute.
- Jan 9, 2026
- Collin Pace
- 5
- Permalink
Input Validation for LLM Applications: How to Sanitize Natural Language Inputs to Prevent Prompt Injection Attacks
Learn how to prevent prompt injection attacks in LLM applications by implementing layered input validation and sanitization techniques. Essential security practices for chatbots, agents, and AI tools handling user input.
- Jan 2, 2026
- Collin Pace
- 9
- Permalink
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