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/aosp_15_r20/external/executorch/docs/source/llm/
H A Dgetting-started.md1 # Intro to LLMs in Executorch
4 ExecuTorch in onboarding your own Large Language Models (LLMs). Our primary goal is to offer
5 a clear and concise guideline on how to integrate our system with your own LLMs.
14 other components. We hope this project serves as a useful guide in your journey with LLMs and Execu…
956 See the instructions for building and running LLMs using ExecuTorch on iOS and Android.
H A Dbuild-run-llama3-qualcomm-ai-engine-direct-backend.md121 - Support more LLMs
/aosp_15_r20/external/executorch/extension/benchmark/
H A DREADME.md22 …e at **[ExecuTorch Benchmark Dashboard](https://hud.pytorch.org/benchmark/llms?repoName=pytorch%2F…
30 - Monitor essential metrics such as load time and inference time. For LLMs, additional metrics like…
/aosp_15_r20/external/executorch/examples/models/llava/
H A DREADME.md130 usage for LLMs with many DQLinears. We reduced it by 36.1% (from 10.44GiB to
163 For text-only LLMs, our approach involved lowering only DQLinear ops
/aosp_15_r20/external/pytorch/docs/source/notes/
H A Dfsdp.rst67 general, applying FSDP to each transformer block is a good heuristic for LLMs, and it is hard to do
104 …d you want ``forward_prefetch=False``? For static-graph models (like most LLMs), there is a major …
/aosp_15_r20/external/executorch/docs/source/
H A Dindex.rst122 :caption: Working with LLMs
129 Intro to LLMs in Executorch <llm/getting-started>
H A Dapple-runtime.md11 * `kernels_custom` - Custom kernels for LLMs
/aosp_15_r20/external/googleapis/google/ai/generativelanguage/v1beta3/
H A Dgenerativelanguage_v1beta3.yaml19 the PaLM model. Large Language Models (LLMs) are a powerful, versatile
H A Ddiscuss_service.proto33 // Also known as large language models (LLMs), this API provides models that
/aosp_15_r20/external/googleapis/google/ai/generativelanguage/v1beta2/
H A Dgenerativelanguage_v1beta2.yaml14 the PaLM model. Large Language Models (LLMs) are a powerful, versatile
H A Ddiscuss_service.proto33 // Also known as large language models (LLMs), this API provides models that
/aosp_15_r20/external/executorch/
H A DREADME-wheel.md28 local LLMs](https://pytorch.org/executorch/stable/llm/getting-started.html)
/aosp_15_r20/external/executorch/examples/models/llama/
H A DUTILS.md72 …orchtune) - a native-Pytorch library for easily authoring, fine-tuning and experimenting with LLMs.
/aosp_15_r20/external/executorch/docs/source/_templates/
H A Dlayout.html82 …var collapsedSections = ['Introduction', 'Getting Started', 'Working with LLMs', 'Exporting to Exe…
/aosp_15_r20/external/googleapis/google/ai/generativelanguage/v1beta/
H A Ddiscuss_service.proto33 // Also known as large language models (LLMs), this API provides models that
/aosp_15_r20/external/executorch/extension/training/
H A DREADME.md262 … fail on more complicated model architectures, though we have verified it works for LoRA with LLMs.
/aosp_15_r20/external/googleapis/google/cloud/discoveryengine/v1/
H A Dsearch_service.proto468 // input for LLMs to generate summaries and answers.
/aosp_15_r20/external/executorch/extension/llm/custom_ops/
H A Dop_sdpa.cpp184 in LLMs during generate phase, when we generate one token a time, the query
/aosp_15_r20/external/googleapis/google/cloud/discoveryengine/v1beta/
H A Dsearch_service.proto543 // input for LLMs to generate summaries and answers.
/aosp_15_r20/external/googleapis/google/cloud/discoveryengine/v1alpha/
H A Dsearch_service.proto548 // input for LLMs to generate summaries and answers.
/aosp_15_r20/external/aws-sdk-java-v2/services/sagemaker/src/main/resources/codegen-resources/
H A Dservice-2.json140 … problem types such as image or text classification, and text generation (LLMs fine-tuning).</p> <…
154 … problem types such as image or text classification, and text generation (LLMs fine-tuning).</p> <…
168 … developing large machine learning models, such as large language models (LLMs) and diffusion mode…
5277 …de>text/csv;header=present</code>.</p> </li> <li> <p>For text generation (LLMs fine-tuning): <code…
5295 …mage classification, time-series forecasting, as well as text generation (LLMs fine-tuning) proble…
5352 …LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the <code>Aut…
5590 …:"<p>Settings used to configure an AutoML job V2 for the text generation (LLMs fine-tuning) proble…
8044 …orecasting: <code>S3Prefix</code>.</p> </li> <li> <p>For text generation (LLMs fine-tuning): <code…
8068 …LLMs fine-tuning): Fine-tuning language models in Autopilot does not require setting the <code>Aut…
18389 …n Web Services IAM role that allows fine-tuning of large language models (LLMs) in Amazon Bedrock.…
[all …]
/aosp_15_r20/external/aws-sdk-java-v2/services/kendra/src/main/resources/codegen-resources/
H A Dservice-2.json929 …input query.</p> <note> <p>If you are working with large language models (LLMs) or implementing re…
/aosp_15_r20/external/googleapis/
H A Dapi-index-v1.json9083 …d generative AI applications using the PaLM model. Large Language Models (LLMs) are a powerful, ve…
9206 …d generative AI applications using the PaLM model. Large Language Models (LLMs) are a powerful, ve…