Mem0 vs Letta vs Zep: Agent Memory Frameworks Compared
Mem0 vs Letta vs Zep compared: memory architectures for LLM agents, extraction, temporal knowledge graphs, self-editing memory, latency, licensing and.
HNSW vs DiskANN vs IVF-PQ: Vector Index Internals, Quantization and Recall Trade-offs
HNSW vs DiskANN vs IVF-PQ explained: graph and quantization index internals, memory arithmetic, recall vs latency, filtered search, and how to pick an ANN.
Test-Time Compute Scaling: Reasoning Budgets, Best-of-N and Process Reward Models
Test-time compute scaling explained: how reasoning budgets, best-of-N sampling, self-consistency and process reward models trade inference cost for.
GGUF vs AWQ vs GPTQ vs FP8: LLM Quantization Formats Compared
LLM quantization formats compared: GGUF, AWQ, GPTQ and FP8 covering bit widths, calibration, kernels, accuracy loss, memory arithmetic and which format.
Multi-Head Latent Attention vs GQA vs MQA: KV-Cache Compression Explained
Multi-head latent attention vs GQA and MQA explained: how each shrinks the KV cache, the low-rank projection math behind DeepSeek MLA, memory arithmetic.
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.