--- id: "/infrastructure-chips-efficiency/advanced/page/3/" title: "Infrastructure, chips & efficiency for advanced learners · page 3" url: "https://skillissue.dev/infrastructure-chips-efficiency/advanced/page/3/" --- # Infrastructure, chips & efficiency for advanced learners [Beginner](/infrastructure-chips-efficiency/beginner/index.md) [Intermediate](/infrastructure-chips-efficiency/intermediate/index.md) [Advanced](/infrastructure-chips-efficiency/advanced/index.md) [Expert](/infrastructure-chips-efficiency/expert/index.md) 86 resources · page 3 of 3 - ### [DoWhy documentation](/model-training/training-infrastructure/dowhy-2/index.md) by [PyWhy](https://www.pywhy.org/) DoWhy documentation: Python library for causal inference with modelling, identification, estimation and refutation steps. Advanced learning_resource docs Global en - ### [EconML](/model-training/training-infrastructure/econml/index.md) by [PyWhy](https://www.pywhy.org/) EconML documentation: Python methods for estimating heterogeneous treatment effects with machine learning. Advanced learning_resource docs US; international en - ### [Feast documentation](/model-training/training-infrastructure/feast-documentation/index.md) by [Feast project](https://feast.dev/) Feast documentation: open-source feature store for serving consistent features to ML training and inference. Advanced learning_resource docs Global en - ### [Fireworks AI documentation](/model-training/training-infrastructure/fireworks-ai-documentation/index.md) by [Fireworks AI](https://fireworks.ai/) Fireworks AI documentation: serverless and dedicated inference, fine-tuning and deployment of open models. Advanced learning_resource docs US en - ### [Three Tests to Run Before You Switch from LoRA to FullFT (Fireworks AI)](/model-training/training-infrastructure/fireworks-three-tests-before-you-switch-from-lora-to-fullft/index.md) by [Fireworks AI](https://fireworks.ai/) Fireworks AI post with controlled experiments on Qwen3.5-9B showing what to test before switching from LoRA to full fine-tuning. Advanced learning_resource blog US en - ### [Building an efficient harness for advanced enterprise work (Glean)](/model-training/training-infrastructure/glean-building-an-efficient-harness-for-advanced-enterprise-work/index.md) by [Glean](https://glean.com/) Glean post on its coding-agent harness using code execution, tool-output truncation and progressive disclosure to cut tokens. Advanced learning_resource blog US en - ### [Grouped-Query Attention](/model-training/training-infrastructure/grouped-query-attention/index.md) by [Joshua Ainslie et al. (Google)](https://ai.google/) arXiv paper (2023) introducing grouped-query attention (GQA) and uptraining multi-head models to it. Advanced learning_resource paper US en - ### [MindSpore 中文 API 文档](/model-training/training-infrastructure/mindspore-api/index.md) by [Huawei (MindSpore)](https://www.mindspore.cn/) MindSpore API documentation in Chinese for Huawei's deep learning training and inference framework. Advanced learning_resource docs China zh - ### [Modal guides](/model-training/training-infrastructure/modal-guides/index.md) by [Modal](https://modal.com/) Modal guides: deploying model serving, GPU jobs and scalable applications on Modal's serverless platform. Advanced learning_resource docs US en - ### [Scaling to 1 million concurrent sandboxes in seconds (Modal)](/model-training/training-infrastructure/modal-scaling-to-1m-concurrent-sandboxes/index.md) by [Modal](https://modal.com/) Modal engineering post on building a scheduler that runs one million concurrent code sandboxes per workspace. Advanced learning_resource blog US en - ### [Moore Threads docs center](/model-training/training-infrastructure/moore-threads-docs-center/index.md) by [Moore Threads (摩尔线程)](https://www.mthreads.com/) Moore Threads documentation centre for its Chinese GPUs and the MUSA SDK (in Chinese). Advanced learning_resource docs China zh - ### [PEFT documentation](/model-training/training-infrastructure/peft-documentation/index.md) by [Hugging Face](https://huggingface.co/) Hugging Face PEFT documentation: parameter-efficient fine-tuning methods such as LoRA, with recipes. Advanced learning_resource docs International en - ### [Qiskit Machine Learning](/model-training/training-infrastructure/qiskit-machine-learning/index.md) by [Qiskit Community](https://github.com/qiskit-community) Qiskit Machine Learning documentation: quantum kernels and quantum neural networks for ML experiments. Advanced learning_resource docs International en - ### [QLoRA](/model-training/training-infrastructure/qlora/index.md) by [Tim Dettmers et al. (University of Washington)](https://www.washington.edu/) arXiv paper (2023) introducing QLoRA, fine-tuning 4-bit quantized LLMs with low-rank adapters. Advanced learning_resource paper US en - ### [Ray Serve documentation](/model-training/training-infrastructure/ray-serve-documentation/index.md) by [Anyscale (Ray)](https://www.anyscale.com/) Ray Serve documentation: scalable library for building online inference APIs and composing model deployments. Advanced learning_resource docs US/global en - ### [SGLang docs: HiCache best practices](/model-training/training-infrastructure/sglang-hicache-best-practices/index.md) by [sgl-project](https://github.com/sgl-project) SGLang HiCache best practices: configuring hierarchical KV caching across GPU, CPU and storage. Advanced learning_resource guide US/China en - ### [Tinker documentation](/model-training/training-infrastructure/tinker-documentation/index.md) by [Thinking Machines Lab](https://thinkingmachines.ai/) Tinker documentation from Thinking Machines Lab: training API for fine-tuning open-weight LLMs, with SDK reference and recipes. Advanced learning_resource docs US en - ### [AdapTive-LeArning Speculator System (ATLAS) (Together AI)](/model-training/training-infrastructure/together-ai-atlas-runtime-learning-speculators/index.md) by [Together AI](https://together.ai/) Together AI post on ATLAS, a speculative decoding system whose speculators keep learning from the live workload. Advanced learning_resource blog US en - ### [Cache-aware prefill-decode disaggregation (Together AI)](/model-training/training-infrastructure/together-ai-cache-aware-prefill-decode-disaggregation/index.md) by [Together AI](https://together.ai/) Together AI post on cache-aware prefill-decode disaggregation for faster long-context inference serving. Advanced learning_resource blog US en - ### [Together AI documentation](/model-training/training-infrastructure/together-ai-documentation/index.md) by [Together AI](https://www.together.ai/) Together AI documentation for running, fine-tuning and serving open-source models. Advanced learning_resource docs US en - ### [vLLM docs: Automatic prefix caching](/model-training/training-infrastructure/vllm-automatic-prefix-caching-design/index.md) by [vLLM](https://github.com/vllm-project) vLLM design document on automatic prefix caching and how shared prompt prefixes reuse the KV cache. Advanced learning_resource docs Global en - ### [vLLM docs](/model-training/training-infrastructure/vllm-docs/index.md) by [vLLM project](https://vllm.ai/) vLLM latest documentation: installation, serving, supported models and quantisation for the LLM inference engine. Advanced learning_resource docs US/Global en [Previous page](/infrastructure-chips-efficiency/advanced/page/2/index.md) [Plain-text Markdown copy](/infrastructure-chips-efficiency/advanced/page/3/index.md)