What is SENA?
SENA is an AI news publication covering model releases, companies, funding, policy, infrastructure and the developments shaping artificial intelligence, with dedicated coverage of Southeast Asia.
SENA News
We filter the noise and surface the AI developments that matter across AI
SENA Model Index
News, releases and independent benchmark comparisons across OpenAI, Anthropic, Google, DeepSeek and other leading labs.
Read model launch coverage, benchmark results, pricing changes and side-by-side comparisons.
Explore models & benchmarks→Explainers
Clear technical explainers on machine learning, LLMs, agents, retrieval and the infrastructure behind modern AI.
Analysis
Why it matters
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Planning, tool calling, state, memory and the execution loop behind modern agentic systems.
Why it matters
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Chunking, embeddings, retrieval, reranking and how external knowledge is injected into an LLM prompt.
Why it matters
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How semantic relationships become vectors and why embeddings power search, recommendations and RAG.

Queries, keys, values and why attention lets a model decide which parts of context matter.

From tokenization and embeddings through transformer layers, logits and next-token prediction.

Linear regression, loss functions, coefficients, residuals and how models learn relationships from data.
About SENA
SENA is an AI news publication covering model releases, companies, funding, policy, infrastructure and the developments shaping artificial intelligence, with dedicated coverage of Southeast Asia.
SENA covers major model launches and compares leading models across reasoning, coding, agents, documents, reliability, speed and value.
SENA tracks AI companies, product and model launches, enterprise adoption, funding, regulation, infrastructure and emerging technical trends as news develops.
Coming into focus