IBM Data Science in Practice

FEBRUARY 5, 2023

They can create release tags for operations staff or CI/CD pipelines to consume. Consumers can extract code for a release tag from the repository. From that UI they can run and debug their code in Python runtime environments — such as CPU, GPU, Spark, custom environments — on Cloud Pak for Data.

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Python Clustering Data Scientist Data Science 130

Flipboard

JUNE 11, 2023

We also pass the `tag: true` option to the ‘AES.encrypt’ method to request the authentication tag, and then pass the tag to the ‘AES.decrypt’ method to verify the integrity of the decrypted data. ChatGPT appears authoritative. It even warns about the vulnerability of the default CBC encryption mode to certain kinds of attacks.

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AI AI SQL Python 170

Mlearning.ai

MAY 5, 2023

This includes things like text preprocessing, part-of-speech tagging, parsing, and sentiment analysis. GPU Computing Skills : LLMs typically require a lot of computational resources, so it’s essential to have experience with GPU computing.

Natural Language Processing 98

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Dataconomy

SEPTEMBER 6, 2023

ADLINK Pocket AI is a portable GPU that’s turning heads in the world of external GPUs (eGPUs). This pint-sized powerhouse, no larger than a deck of playing cards, packs a punch with its Thunderbolt 3 connectivity and the mighty NVIDIA RTX A500 4GB GDDR6 GPU under the hood. PCI Express 3.0 PCI Express 3.0

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Dataconomy

AUGUST 29, 2023

Ensure you have at least 10GB of hard drive space available before you begin. ” Utilizing these negative prompts will direct the AI to produce results that deliberately feature these issues, enabling you to evaluate the model’s weak points.

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AI AI Python Artificial Intelligence 185

Hacker News

MARCH 25, 2022

Transformers use positional encoders to tag data elements coming in and out of the network. Attention units follow these tags, calculating a kind of algebraic map of how each element relates to the others. Transformer training and inference will get significantly accelerated with the NVIDIA H100 GPU.

Machine Learning 182

Machine Learning Machine Learning AI AI 182

Explosion

JANUARY 29, 2023

we started using logits during inference, which resulted in speedups of 27% when using a tagging + parsing pipeline. we vectorized those operations which increased GPU throughput and reduced training time by 20%. Convolution GPU 96,291 121,623 +26.3% Transformer GPU 20,381 20,297 -0.4% Convolution GPU 4,667 5,139 +10.0%

Python 59

Python Data Scientist Machine Learning Machine Learning 59

Mlearning.ai

FEBRUARY 6, 2023

If there are multiple GPUs on the selected instance we will use each GPU for inference on each file in parallel. ENV PYTHONUNBUFFERED=TRUE ENV PYTHONDONTWRITEBYTECODE=TRUE Once we have the DOCKER file we need to build it to create an image and tag that image before we push it to Amazon ECR. values text2 = df["text2"].values

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AWS ML ML Python 52

Explosion

NOVEMBER 4, 2021

we’ve added usability improvements for custom training and scoring, improved performance on Apple M1 and Nvidia GPU hardware, and support for space-efficient vectors using floret , our new hash embedding extension to fastText. We’re pleased to present v3.2 of the spaCy Natural Language Processing library. Results updated on Nov.

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Natural Language Processing Python 52

AWS Machine Learning Blog

NOVEMBER 20, 2023

KT’s AI Food Tag is an AI-based dietary management solution that identifies the type and nutritional content of food in photos using a computer vision model. The AI Food Tag can help patients with chronic diseases such as diabetes manage their diets. In this post, we describe KT’s model development journey and success using SageMaker.

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AssemblyAI

JANUARY 19, 2023

Stable Diffusion allows you to create incredible images like the one below with only a sentence; but it requires a GPU to run in a reasonable amount of time. Since GPUs are expensive and in short supply, many users opt to instead pay for credits in a web app like DreamStudio in order to use Stable Diffusion in the cloud.

Python 52

Python 52

AWS Machine Learning Blog

APRIL 19, 2024

The Kubernetes semantics used by the provisioners support directed scheduling using Kubernetes constructs such as taints or tolerations and affinity or anti-affinity specifications; they also facilitate control over the number and types of GPU instances that may be scheduled by Karpenter. We start with just the two c5.xlarge

Clustering 99

Clustering AI AI AWS 99

AWS Machine Learning Blog

MAY 16, 2024

xlarge","Name":"Master Instance Group"},{"InstanceCount":2,"InstanceGroupType":"CORE","InstanceType":"r5.xlarge","Name":"Core xlarge","Name":"Core Instance Group"},{"InstanceCount":2,"BidPrice":"OnDemandPrice","InstanceGroupType":"TASK","InstanceType":"r5.xlarge","Name":"Task northeast-2.amazonaws.com/pytorch-inference:1.8.1-gpu-py3'

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AWS Machine Learning Blog

APRIL 4, 2024

The following figure shows an example of our tagging system. As part of our analysis, we identified performance bottlenecks such as running a single model on a machine, which showed a low GPU utilization of 30–40%. xlarge with a GPU utilization of more than 80%. For example, we identify if the brand is on a banner or a shirt.

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AWS Machine Learning Machine Learning ML 75

The MLOps Blog

JANUARY 25, 2023

For example, “I love being ignored” may be tagged as a negative example, and “I can be very ambitious” can be tagged as a positive example. You can also prepare a dictionary of words and tag them into different classes so that humans labeling the data will have uniformity in the annotation.

Natural Language Processing 52

Natural Language Processing ML ML Deep Learning 52

Explosion

AUGUST 1, 2019

In order to continue scaling the size of the network, research has focused particularly on models which can use current GPU and TPU hardware efficiently, and models which support efficient parallel training. Transformers also let you make better use of expensive GPU and TPU hardware — another benefit that’s only relevant for larger models.

Natural Language Processing 52

Natural Language Processing AWS Machine Learning Machine Learning 52

DrivenData Labs

JANUARY 22, 2024

Define the token types ¶ A token classifier is typically looking to tag tokens according to the part of speech or entity type. We also provide an option to use LoRA (Low-Rank Adaptation of Large Language Models) to reduce resources required for training and to speed up CER model training. We define the following token labels: O.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

GPU Optimized kernel and ml.g4dn.xlarge instance type. Accept the Terms & Conditions for Llama2: You will need to accept the end-user license agreement and acceptable use policy for using the Llama2 foundation model. The examples are available in the GitHub repository. Python 3.10

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The MLOps Blog

JUNE 27, 2023

It is well integrated with popular data science tools, such as Jupyter and Kubeflow ; supports a variety of data and streaming sources, and supports execution over CPUs and GPUs. optimizes and orchestrates GPU compute resources for AI and deep learning workloads. Severless GPUs are machines that scale-to-zero in the absence of traffic.

Machine Learning 134

Machine Learning Machine Learning ML ML 134

Flipboard

APRIL 17, 2023

And don’t forget to share your stunning convergence plots on Twitter, tagging us for a chance to win a surprise! We used Jarvislabs.ai , a GPU cloud, for all the experiments. GPU cloud credits. Cloud GPUs let you use a GPU and only pay for the time you are running the GPU. What's next? Thanki, eds.,

Machine Learning 107

Machine Learning Machine Learning Deep Learning Deep Learning 107

AWS Machine Learning Blog

FEBRUARY 20, 2023

2xlarge (16GB GPU memory) and ml.g5.2xlarge (24GB GPU memory) instances. A tag indicating the specific dog present in the instance prompt is missing in the class prompt. Instance types Fine-tuning Stable Diffusion models require accelerated computation provided by GPU-supported instances. 2xlarge instance.

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Algorithm Python Machine Learning Machine Learning 79

Explosion

DECEMBER 13, 2021

The benchmarks show the competitive performance of spaCy’s core components for tagging, parsing and sentence segmentation and also let us highlight and evaluate the new edit tree lemmatizer. The part-of-speech tags and morphological features are on par with Trankit Base while UAS/LAS are slightly lower.

Python 52

Python 52

AWS Machine Learning Blog

APRIL 25, 2023

Infrastructure settings cover the network configuration, IAM roles, Amazon Simple Storage Service (Amazon S3) folder for input, output data, and tags. The training will be run remotely with a GPU instance wherein the instance type is defined in the preceding configuration file. You only need to set it up one time. SchemaVersion: '1.0'

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Machine Learning Machine Learning ML ML 78

AWS Machine Learning Blog

JANUARY 13, 2023

For Peering connection name tag , you can optionally name your VPC peering connection.Doing so creates a tag with a key of the name and a value that you specify. This tag is only visible to you; the owner of the peer VPC can create their own tags for the VPC peering connection. Define the GPU mapping config file.

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AWS Machine Learning Blog

SEPTEMBER 27, 2023

instance with a single GPU. For each model, the fine-tuning processes can fit on a single GPU of a g4dn.x Inference the fine-tuned model deployed on SageMaker We deployed the fine-tuned model along with the RAG framework in a single GPU g4dn.x The training takes 10–20 epochs to converge, as shown in the following figure.

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AI AI ML ML 88

Heartbeat

FEBRUARY 8, 2024

pip install langchain openai comet_ml comet-llm textstat tiktoken faiss-gpu``` Chat Models As discussed above, chat models are backed by LLMs such as GPT or Anthropic. The rest are optional like prompt template, metadata, tags, etc. Afterwards, we need to install the following libraries using the PIP package manager.

AI 52

AI AI Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 30, 2023

You can also apply additional filters such as account number, Amazon Elastic Compute Cloud (Amazon EC2) instance type, cost allocation tag, Region, and more. You can also include cost-allocation tags in your query for an additional level of granularity. For GPU-based images, the default suggested instance type is ml.g4dn.xlarge.

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AWS ML ML EDA 79

Explosion

NOVEMBER 21, 2019

Part-of-speech tags are particularly helpful: many words have very different senses depending on their part of speech, so it’s useful to be able to query for the synonyms of duck|VERB and duck|NOUN separately. Accuracy Words / Sec 1 Data F-Score Precision Recall CPU GPU #Ex 2 Work 3 Rule-based baseline 48.4 13k 72k 1235 ~2.5h

Natural Language Processing 52

Natural Language Processing Data Scientist Machine Learning Machine Learning 52

Heartbeat

NOVEMBER 6, 2023

. # define Comet Callbacks comet_callback = CometCallbackHandler( project_name="LangChain-Experiment", # give the project an appropriate name complexity_metrics=True, stream_logs=True, tags=["llm"], visualizations=["dep", "ent"], ) With everything set up, we can proceed to import models from HuggingFace in LangChain.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Flipboard

FEBRUARY 16, 2023

Trn1 instances are purpose built for high-performance deep learning model training while offering up to 50% cost-to-train savings over comparable GPU-based instances. In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS.

Clustering 106

Clustering AWS Deep Learning Deep Learning 106

Chatbots Life

SEPTEMBER 11, 2023

These tasks encompass a wide range of functionalities, including but not limited to part-of-speech tagging, extracting noun phrases, performing sentiment analysis, classification, translation, and more. Please make sure you have GPU enabled for faster responses 1.Install Install the packages !pip

Natural Language Processing 59

Natural Language Processing Python ML ML 59

Flipboard

OCTOBER 9, 2023

Additionally, the -t (or --tag ) flag is used to give a nametag to your image. Using the -t flag allows you to tag your build with a name that can be used to reference it later. -t <your-dockerhub-username>/docker-trial-pyimagesearch ``` In this command, we executed the building operation. Example: docker build. -t Gosthipaty, S.

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AWS Machine Learning Blog

OCTOBER 17, 2023

While YOLOv5 is responsible for recognizing and tagging cows in a single image, in reality, videos consist of multiple images (frames) that change continuously. The customer doesn’t need real time results, so batch processing can further improve efficiency of the GPU instance and decrease the cost.

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AWS AI AI Algorithm 95

IBM Journey to AI blog

SEPTEMBER 20, 2023

Pre-training of these base large language models (LLMs) and other types of foundation models using self-supervised techniques on vast unlabeled datasets often needs significant compute (GPU) resources and is best performed at a hub.

Clustering 90

Clustering AI AI Data Science 90

AWS Machine Learning Blog

NOVEMBER 30, 2023

You can use the Advanced options section to specify an IAM role, VPC details, and tags. If the model uses a GPU instance, choose the number of accelerators and minimum number of copies for the model. However, you can name the endpoint according to your preference, or use an existing endpoint on the Endpoint name drop-down menu.

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ML ML AWS Python 102

DagsHub

DECEMBER 5, 2023

Lastly, it automatically tracks information such as usage of GPU, CPU, Memory, and Network. For example, it allows us to share projects, comment and tag other team members. Additionally, ClearML captures and logs everything written to standard output, from debug messages to errors and library warning messages.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Although it addresses smaller models, cramming improves the performance that can be achieved with one day of training language models on a single GPU. Lastly, OpenAI has plans to embed cryptographic tags into ChatGPT’s output in order to watermark the generated text. But users may find ways to bypass safeguards.

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