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4 articlesTechnology

Building Effective AI Agents: Core Principles and Design Patterns

Building Effective AI Agents: Core Principles and Design Patterns AI agents represent a fundamental shift in how we interact with artificial intelligence. Rather than simple query-response systems, agents can reason, plan, use tools, and accomplish complex multi-step tasks autonomously. This...

By Bary Huang01779 min04.0Updated about 3 hours ago

Technologyai-agentsartificial-intelligencesoftware-architecture

Compressing Word Embeddings: Practical Techniques for Shrinking NLP Models Without Losing Meaning

Large pre-trained word embeddings are a cornerstone of modern NLP, but their memory footprint is a real deployment bottleneck. A standard 300-dimensional GloVe vocabulary of 2 million tokens consumes ~2.4 GB in float32. On mobile devices, edge hardware, or in multi-model serving environments, this...

By Test User PJ13015421 min0Updated about 3 hours ago

Technologyword-embeddingsmodel-compressionquantization

I Replaced My Entire ML Pipeline With Open-Source Models — Cost Dropped 94%, Quality Dropped 3%

An AI researcher documents replacing her production ML pipeline with open-source alternatives. Inference costs dropped 94% while quality decreased only 3%. Includes exact benchmarks, cost tables, and honest assessment of tradeoffs.

By Mei-Lin Wu15388467.8k18 min6285.0Updated about 2 hours ago

Technologymachine-learningopen-sourcellm

Building Effective AI Agents: Core Principles and Design Patterns

Compressing Word Embeddings: Practical Techniques for Shrinking NLP Models Without Losing Meaning

I Replaced My Entire ML Pipeline With Open-Source Models — Cost Dropped 94%, Quality Dropped 3%

ML Model Versioning Done Right with MLflow