Tag: vision-language models

Vision-First vs Text-First Pretraining: Which Path Leads to Better Multimodal LLMs?

Text-first and vision-first pretraining are two paths to building multimodal AI. Text-first dominates industry use for its speed and compatibility. Vision-first leads in complex visual tasks but is harder to deploy. The future belongs to hybrids that blend both.

Prompt Hygiene for Factual Tasks: How to Write Clear LLM Instructions That Don’t Lie

Sep, 12 2025
Batched Generation in LLM Serving: How Request Scheduling Shapes Output Speed and Quality

Oct, 12 2025
Positional Encoding in Transformers: Sinusoidal vs Learned for Large Language Models

Dec, 14 2025
Prompt Chaining vs Agentic Planning: Which LLM Pattern Works for Your Task?

Sep, 30 2025
Calibration and Confidence Metrics for Large Language Model Outputs: How to Tell When an AI Is Really Sure

Aug, 22 2025

Tag: vision-language models

Vision-First vs Text-First Pretraining: Which Path Leads to Better Multimodal LLMs?

Recent Post

Prompt Hygiene for Factual Tasks: How to Write Clear LLM Instructions That Don’t Lie

Batched Generation in LLM Serving: How Request Scheduling Shapes Output Speed and Quality

Positional Encoding in Transformers: Sinusoidal vs Learned for Large Language Models

Prompt Chaining vs Agentic Planning: Which LLM Pattern Works for Your Task?

Calibration and Confidence Metrics for Large Language Model Outputs: How to Tell When an AI Is Really Sure

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