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Latest Journal Publications
Showing 12 articlesFunction Calling Architecture: How Modern LLMs Execute Tools Reliably
An engineering deep-dive into LLM tool-calling conventions: analyzing parameter schema validation, parallel tool execution, error self-correction loops, and security guardrails....
The Rise of Sovereign AI: National Supercomputing Infrastructure
Analyzing sovereign AI initiatives worldwide, as nations invest billions to build domestic foundation models, native language corpora, and state-owned GPU supercomputing clusters....
Guaranteed JSON Schema Compliance: Constrained Sampling in Production
How grammar-constrained decoding and finite state machines eliminate JSON parsing failures, syntax errors, and prompt retry loops in production AI pipelines....
Co-Packaged Optics: Replacing Copper Traces in AI Datacenters
How Co-Packaged Optics (CPO) and silicon photonics replace traditional electrical copper traces inside AI networking switches to curb explosive electrical power loss and thermal dissipation....
Microsoft Phi-4: High-Yield Synthetic Data Filtering and Small Model Reasoning
A deep-dive into Microsoft Phi-4: how a 14-billion parameter dense architecture leveraged high-yield synthetic textbooks, multi-agent debate filtering, and curated curricula to outperform 70B models on mathematics and reasoning....
Fine-Tuning vs In-Context Learning: LoRA Adapters vs Long-Context Prompts
A strategic decision framework for engineering teams deciding whether to fine-tune open models with LoRA/QLoRA adapters or leverage long-context in-context prompting and RAG pipelines....
Google DeepMind Genie 2: Large-Scale Interactive 3D World Models and the Future of Agent Simulation
An architectural examination of Google DeepMind Genie 2: how autoregressive video transformers and latent action models synthesize interactive, consistent 3D worlds from a single prompt, creating endless training simulators for autonomous AI agents....
Llama 3.3 70B: Matching Previous 405B Capabilities in a Single Dense Checkpoint
An architectural analysis of Meta's Llama 3.3 70B: how online knowledge distillation from the 405B flagship model compressed frontier-grade reasoning into an efficient 70-billion parameter checkpoint runnable on a single 8xH100 GPU server....
The CUDA Software Moat: Why TensorRT, cuDNN, and NCCL Endure
Examining NVIDIA's enduring competitive advantage, demonstrating why 18 years of software ecosystem integration (CUDA, TensorRT-LLM, NCCL, Megatron-LM) trumps pure silicon hardware specifications....
Inside vLLM: How PagedAttention Eliminates KV-Cache Memory Waste in High-Concurrency Serving
A deep architectural analysis of vLLM and PagedAttention: how borrowing virtual memory paging principles from operating systems eliminates KV-cache fragmentation and quadruples GPU serving throughput....
The Economics of AI Tokens: How Sub-Dollar Inference Is Reshaping SaaS Margins and Software Architecture
A financial and systems architecture breakdown of the collapsing cost of AI inference: how sub-dollar token pricing, hardware optimizations, and prompt caching are transforming traditional SaaS gross margins and enabling multi-agent software architectures....