How Transformers Power Large Language Models
This post breaks down how transformers work in LLMs, highlighting their use of embeddings, positional encoding, and multi-head self-attention to understand language. Unlike older models, transformers process words in parallel and capture complex relationships, making them efficient and powerful for real-world AI tasks.
Logic Driven vs Resources Driven Relationships in Construction Scheduling
This post explains the difference between logic-driven and resources-driven scheduling in construction planning. It highlights how relying solely on activity links can lead to unrealistic labor demands, and advocates for resource-based scheduling to ensure steady labor allocation and practical project timelines.
Enhancing Site Team Understanding with Visual Workflows Behind Planned Dates
This post emphasizes the importance of sharing not just planned dates with the site team, but also the logic and workflow that generated those dates. Since planning engineers are often the only ones with access to scheduling software like Primavera P6, other stakeholders miss out on understanding the dependencies and rationale. A simple visual workflow—created even in Excel—can bridge this gap. It helps the site team better grasp task relationships, durations, manpower needs, and responsibilities, making execution smoother and more informed. A free Excel sheet demonstrating such a workflow is provided in the post.
Visualizing Construction Schedules: Sharing Logic Behind Planned Dates
This post emphasizes the importance of not just sharing planned dates with site teams, but also providing a simple visual workflow that explains the logic and dependencies behind those dates. By using clear diagrams-easily created in Excel-planning engineers can help teams better understand project timelines, manpower allocation, and relationships, making on-site planning and execution more effective