Mamba and State Space Models vs Transformers: Hybrid Architectures Explained
Mamba and state space models compared with Transformers: selective scan, linear-time inference, KV-cache savings, hybrid designs like Jamba, and when SSMs.
GRPO and RLVR Explained: How Reasoning Models Are Trained with Reinforcement Learning
GRPO and RLVR explained: how group-relative policy optimization and verifiable rewards train reasoning LLMs, with the math, a minimal training loop and.
OpenTelemetry GenAI Semantic Conventions: Tracing LLM Calls and AI Agents
Trace LLM calls and AI agents with OpenTelemetry GenAI semantic conventions: span and metric attributes, agent spans, content capture and Collector setup.
Ling 3.1 Flash Explained: Architecture, Pricing and Benchmarks
Ling 3.1 Flash explained: what is documented on context, access and pricing, what is not disclosed, and how to evaluate it against peer models.
Speculative Decoding Explained: EAGLE-3 vs Medusa vs Lookahead for LLM Inference Speedup
Speculative decoding explained: draft-and-verify math, EAGLE-3 vs Medusa vs lookahead, acceptance rates, vLLM and SGLang support, and when it hurts.
Perceptron Mk1.5 Explained: Vision-Language Model Capabilities and Pricing
Perceptron Mk1.5 explained: an embodied reasoning model for image, video and audio. Confirmed capabilities, pricing, open questions and how to evaluate it.
MiniMax M3.1 Flash Preview Explained: Architecture, Pricing and Benchmarks
MiniMax M3.1 Flash Preview explained: documented context, effort levels, access and pricing, what is still unpublished, and how to evaluate it.
LTX Video Model Explained: Lightricks Architecture, Open Weights and Hardware
LTX from Lightricks explained: diffusion transformer video architecture, open weights license, resolution and length limits, and the GPU needed to run it locally.
Microsoft MAI-Voice-2.1 and MAI-Transcribe-2 Explained: Speech Models, Pricing and Use Cases
Microsoft AI released MAI-Voice-2.1, a Flash variant and MAI-Transcribe-2-Streaming. What is confirmed on languages, pricing and latency, and where speech.
Time-Series Foundation Models for Industrial Sensors: TimesFM vs Chronos vs Moirai
TimesFM, Chronos and Moirai compared for industrial sensor forecasting and anomaly detection: architectures, zero-shot limits, latency, and a practical.