8bit.tr Journal
Ideas, frameworks, and playbooks for modern product teams.
Clear, practical articles about building digital products that people love. Short, useful, and built for teams that ship.
Hybrid Search and Metadata Filters: Precision at Scale
How to combine dense vectors, keyword search, and metadata filters for high-precision retrieval systems.
Model Serving Architecture: From Single GPU to Global Fleet
Design patterns for serving AI models at scale: routing, caching, fallback tiers, and regional deployment.
Factuality Evaluation and Citation Quality: Proving Grounded Answers
How to evaluate factuality and citation quality for LLM answers in high-stakes environments.
Agentic Workflows and Tool Use: Building Reliable AI Operators
A practical blueprint for agentic systems: tool selection, planning loops, memory, and guardrails that keep agents reliable.
Model Risk Management: Quantifying and Controlling LLM Risk
A practical framework for identifying, scoring, and mitigating risks in LLM-powered products.
Speculative Decoding and Fast Inference: Making LLMs Feel Instant
A technical guide to speculative decoding, draft models, and system tricks that cut latency without sacrificing quality.
Long-Context Benchmarking: Measuring What Actually Scales
How to benchmark long-context LLMs with realistic tasks, latency constraints, and retrieval-aware metrics.
Distributed Training at Scale: Data, Parallelism, and Stability
A technical guide to scaling model training with data, tensor, and pipeline parallelism while keeping runs stable.
Energy Efficiency and Carbon-Aware AI: Sustainable LLM Operations
A technical guide to reducing energy use and carbon impact in LLM training and inference.
Multimodal Model Architecture: Unifying Text, Images, and Beyond
How multimodal models combine vision and language, plus the engineering decisions that make them reliable in production.
Multi-Agent Coordination Architecture: Designing Reliable Agent Teams
How to build multi-agent systems with clear roles, coordination protocols, and failure isolation.
LLM Memory, Context Windows, and Long-Context Design
A deep dive into context windows, memory strategies, and the engineering trade-offs behind long-context LLMs.
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