Benchmark Best practices Engineering Scripts 
AWS Machine Learning
FEBRUARY 27, 2024
However, even though the pace of innovation is high, the different teams had developed their own ways of working and were in search of a new MLOps best practice. We decided to put in a joint effort to build a prototype on a best practice for MLOps. The pipeline is scheduled to run at regular intervals.
AWS Machine Learning
MAY 10, 2023
We cover computer vision (CV), natural language processing (NLP), classification, and ranking scenarios for models and ml.c6g, ml.c7g, ml.c5, and ml.c6i SageMaker instances for benchmarking. You can use the sample notebook to run the benchmarks and reproduce the results. Create an endpoint configuration.
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AWS Machine Learning
APRIL 22, 2024
Typically, HyperPod clusters are used by multiple users: machine learning (ML) researchers, software engineers, data scientists, and cluster administrators. To achieve this multi-user environment, you can take advantage of Linux’s user and group mechanism and statically create multiple users on each instance through lifecycle scripts.
Totango
AUGUST 23, 2022
Touchpoints may involve any medium you use to interact with customers, including: Search engine marketing. This may occur through encountering your brand or product through a search engine result, a search engine ad, a social media post, a video, a review on a technology website, word-of-mouth or other means. Blog content.
Comm100
JANUARY 21, 2020
Here are four elements to consider, plus some customer service best-practices to make the most of them: Social media vs. SEO reach. Online customers in the pre-purchase stage typically find companies in one of two ways: on social media or through a search engine. Comm100’s 2020 Live Chat Benchmark Report found that 74.5
AWS Machine Learning
SEPTEMBER 22, 2023
Gone are the days when you need unnatural prompt engineering to get base models, such as GPT-3, to solve your tasks. The script initiates the SFT model using its current weights and then optimizes them under the guidance of a reward model, so that the resulting RLHF trained model aligns with human preference. yaml ppo_hh.py
AWS Machine Learning
AUGUST 16, 2023
Prepare the BigEarthNet-S2 dataset BigEarthNet-S2 is a benchmark archive that contains 590,325 multispectral images collected by the Sentinel-2 satellite. It is best practice to create a new checkpoint_s3_uri for each training job in order to reduce the initial data download time. 24xlarge, or ml.p4d.24xlarge
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