DataRobot Blog

FEBRUARY 2, 2023

As an example, getting started with a BERT model for question answering (bert-large-uncased-whole-word-masking-finetuned-squad) is as easy as executing these lines: !pip pip install transformers==4.25.1 pip install transformers==4.25.1 datarobot==3.0.2 the custom.py print("Creating model deployment.") print("Creating model deployment.")

BERT 52

BERT Large Language Models Natural Language Processing Machine Learning 52

Explosion

JULY 6, 2021

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. pip install spacy-huggingface-hub huggingface-cli login # Package your pipeline python -m spacy package./en_ner_fashion./output

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BERT Auto-complete NLP Python 52

Explosion

JANUARY 31, 2021

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 The config can be loaded as a Python dict. When you load a config, spaCy checks if the settings are complete and if all values have the correct types.

NLP 52

NLP Python BERT Auto-classification 52

Google Research AI blog

FEBRUARY 28, 2023

Dataset Description Auto-Arborist A multiview urban tree classification dataset that consists of ~2.6M MultiBERTs Predictions on Winogender Predictions of BERT on Winogender before and after several different interventions. UGIF A multi-lingual, multi-modal UI grounded dataset for step-by-step task completion on the smartphone.

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Robotics Deep Learning Auto-classification ML 72

AWS Machine Learning Blog

APRIL 17, 2023

SageMaker LMI containers includes model download optimization by using the s5cmd library to speed up the model download time and container startup times, and eventually speed up auto scaling on SageMaker. It has faster loading and uses multi-process loading on Python. It supports AOT compilation and uses CPU to partition the model.

Prompt Engineer 78

Prompt Engineer Prompt Engineering Deep Learning Large Language Models 78

AWS Machine Learning Blog

MARCH 6, 2023

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. The AWS Python SDK Boto3 may also be combined with Torch Dataset classes to create custom data loading code.

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Large Language Models LLM Machine Learning ML 78

AWS Machine Learning Blog

NOVEMBER 1, 2023

Additionally, you benefit from advanced features like auto scaling of inference endpoints, enhanced security, and built-in model monitoring. TGI is implemented in Python and uses the PyTorch framework. This post proposes Auto-CoT, which samples questions with diversity and generates reasoning chains to construct the demonstrations.

Auto-classification 92

Auto-classification LLM Auto-complete Generative AI 92

AWS Machine Learning Blog

JANUARY 9, 2023

The models can be completely heterogenous, with their own independent serving stack. After these business logic steps are complete, the inputs are passed through to ML models. And during idle time, it should be able to turn off compute capacity completely so that you’re not charged. ML inference options.

ML 74

ML Auto-complete Auto-classification Deep Learning 74

Topbots

JUNE 29, 2023

Most employees don’t master the conventional data science toolkit (SQL, Python, R etc.). On a more advanced stance, everyone who has done SQL query optimisation will know that many roads lead to the same result, and semantically equivalent queries might have completely different syntax. different variants of semantic parsing.

Auto-complete 52

Auto-complete Algorithm Data Scientist Auto-classification 52