Latest in AI/ML Engineering & LLMOps

530 words

Flyte 1 vs. Flyte 2 vs. Union.ai

Union.ai self-service deployment is now available on AWS Marketplace. Train, evaluate, and serve inside your own perimeter. Bring the framework you already use, and every step of the loop becomes durable and replayable. Runs that recover from infrastructure failure…

requesty.ai
391 words

deepseek-v4.1-flash-1017

Which id to call These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not…

requesty.ai
336 words

muse-spark-open

Which id to call 2 endpoints / 1 region Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys. A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page. Requesty routes…

requesty.ai
343 words

muse-spark-1.3

Which id to call 1 endpoint / 1 region Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys. A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page. Requesty routes…

blockrun.ai
321 words

Grok Build 0.1

xAI's fast agentic coding model, trained for interactive software-engineering workflows. 256K context, text + image input. On BlockRun since 2026-06-04. Measured on BlockRun over the last 7 days, end to end, successful calls only. Not a vendor benchmark. No markup on official xAI rates;…

requesty.ai
284 words

mistral-large-4

Which id to call 1 endpoint / 1 region Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys. A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page. Requesty routes…

AI/ML Engineering & LLMOps

Training/inference, vector search, RAG, evaluation, safety, and production ML/LLM stacks.

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Inside AI/ML Engineering & LLMOps

Frameworks & Training PyTorch, TensorFlow, JAX, datasets, and accelerator workflows.
Inference & Serving Serving runtimes, Triton, vLLM, ONNX Runtime, and scalable endpoints.
RAG & Vector Databases Embeddings, retrieval strategies, chunking, and hybrid search patterns.
Prompting, Guardrails & Eval Prompt tools, safety filters, red-teaming, evals, and regression benchmarks.
MLOps & Governance Tracking, model registry, feature stores, lineage, and compliance.

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