Remove Auto-complete Remove BERT Remove Definition
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Host ML models on Amazon SageMaker using Triton: TensorRT models

AWS Machine Learning Blog

With kernel auto-tuning, the engine selects the best algorithm for the target GPU, maximizing hardware utilization. SageMaker MMEs can horizontally scale using an auto scaling policy and provision additional GPU compute instances based on specified metrics. Note that the cell takes around 30 minutes to complete. !docker

ML 99
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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

In this comprehensive overview, we will explore the definition, significance, and real-world applications of these game-changing models. In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna.

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TensorRT-LLM: A Comprehensive Guide to Optimizing Large Language Model Inference for Maximum Performance

Unite.AI

Kernel Auto-tuning : TensorRT automatically selects the best kernel for each operation, optimizing inference for a given GPU. Let’s break down the key components: Model Definition TensorRT-LLM allows you to define LLMs using a simple Python API. build/tensorrt_llm*.whl

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Creating your whole codebase at once using LLMs – how long until AI replaces human developers?

deepsense.ai

Usually agents will have: Some kind of memory (state) Multiple specialized roles: Planner – to “think” and generate a plan (if steps are not predefined) Executor – to “act” by executing the plan using specific tools Feedback provider – to assess the quality of the execution by means of auto-reflection.

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Introducing spaCy v3.1

Explosion

For example, you’ll be able to use the information that certain spans of text are definitely not PERSON entities, without having to provide the complete gold-standard annotations for the given example. spacy-dbpedia-spotlight Use DBpedia Spotlight to link entities ✍️ contextualSpellCheck Contextual spell correction using BERT ?

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The Sequence Chat: Hugging Face's Leandro von Werra on StarCoder and Code Generating LLMs

TheSequence

This is also where I met Lewis Tunstall and as language models with BERT and GPT-2 started taking off we decided to start working on a textbook about transformer models and the Hugging Face ecosystem. data or auto-generated files). cell outputs) for code completion in Jupyter notebooks (see this Jupyter plugin ).

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Introducing spaCy v3.0

Explosion

de_dep_news_trf German bert-base-german-cased 99.0 95.8 - es_dep_news_trf Spanish bert-base-spanish-wwm-cased 98.2 94.4 - zh_core_web_trf Chinese bert-base-chinese 92.5 When you load a config, spaCy checks if the settings are complete and if all values have the correct types. Reproducibility with no hidden defaults.

NLP 52