Run Llama Without a GPU! Quantized LLM with LLMWare and Quantized Dragon
#llm #chatgpt #quantization #rag #python #mlops #gpuinfrastructure #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonfr #hackernoonbn #hackernoonru #hackernoonvi #hackernoonpt #hackernoonja #hackernoonde #hackernoonko #hackernoontr
https://hackernoon.com/run-llama-without-a-gpu-quantized-llm-with-llmware-and-quantized-dragon
#llm #chatgpt #quantization #rag #python #mlops #gpuinfrastructure #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonfr #hackernoonbn #hackernoonru #hackernoonvi #hackernoonpt #hackernoonja #hackernoonde #hackernoonko #hackernoontr
https://hackernoon.com/run-llama-without-a-gpu-quantized-llm-with-llmware-and-quantized-dragon
Hackernoon
Run Llama Without a GPU! Quantized LLM with LLMWare and Quantized Dragon
Use AI miniaturization to get high-level performance out of LLMs running on your laptop!
Building a CI Pipeline with Databricks dbx Tool and GitLab
#databricks #mlops #cicdpipelines #gitlabci #devops #dbx #databricksassets #devopsguide
https://hackernoon.com/building-a-ci-pipeline-with-databricks-dbx-tool-and-gitlab
#databricks #mlops #cicdpipelines #gitlabci #devops #dbx #databricksassets #devopsguide
https://hackernoon.com/building-a-ci-pipeline-with-databricks-dbx-tool-and-gitlab
Hackernoon
Building a CI Pipeline with Databricks dbx Tool and GitLab | HackerNoon
Explore streamlined CI/CD in Databricks with Asset Bundles. Simplify deployment, eliminate complexities, and enhance workflow efficiency
2024 Tech Landscape: 5 Trends Driving Operational Change
#enterprisetechnology #techtrends2024 #generativeai #mlops #mloperations #cloudcomputing #continuousimprovement #intelligententerpriseapps
https://hackernoon.com/2024-tech-landscape-5-trends-driving-operational-change
#enterprisetechnology #techtrends2024 #generativeai #mlops #mloperations #cloudcomputing #continuousimprovement #intelligententerpriseapps
https://hackernoon.com/2024-tech-landscape-5-trends-driving-operational-change
Hackernoon
2024 Tech Landscape: 5 Trends Driving Operational Change | HackerNoon
Discover 5 enterprise technology trends in 2024, focusing on purpose-driven adoption and continuous improvement for impactful outcomes in global businesses.
Understand Apache Airflow in 2024: Hints by Data Scientist
#airflow #apacheairflow #getstartedwithairflow #dataengineering #datascience #mlengineering #mlops #machinelearning
https://hackernoon.com/understand-apache-airflow-in-2024-hints-by-data-scientist
#airflow #apacheairflow #getstartedwithairflow #dataengineering #datascience #mlengineering #mlops #machinelearning
https://hackernoon.com/understand-apache-airflow-in-2024-hints-by-data-scientist
Hackernoon
Understand Apache Airflow in 2024: Hints by Data Scientist
A great guide, on how to learn Apache Airflow from scratch in 2024. This article covers basic concepts of Airflow and useful for Data Scientist, Data Engineers
How to Export Metrics from Databricks Serving Endpoint to Datadog
#databricks #mlops #datadog #dataengineering #monitoring #dataanalytics #metricsfromdatabricks #exportmetricsdatabricks
https://hackernoon.com/how-to-export-metrics-from-databricks-serving-endpoint-to-datadog
#databricks #mlops #datadog #dataengineering #monitoring #dataanalytics #metricsfromdatabricks #exportmetricsdatabricks
https://hackernoon.com/how-to-export-metrics-from-databricks-serving-endpoint-to-datadog
Hackernoon
How to Export Metrics from Databricks Serving Endpoint to Datadog | HackerNoon
If you are using Databricks serving endpoint, and you wish to export metrics to Datadog, you can face with some challenges in Datadog documentation.
KitOps: Bridging the Gap Between AI/ML and DevOps with Standardized Packaging
#devops #mlops #machinelearning #ai #containerization #modelpackaging #kitops #docker
https://hackernoon.com/kitops-bridging-the-gap-between-aiml-and-devops-with-standardized-packaging
#devops #mlops #machinelearning #ai #containerization #modelpackaging #kitops #docker
https://hackernoon.com/kitops-bridging-the-gap-between-aiml-and-devops-with-standardized-packaging
A Digestible High-Level Overview of CPU & GPU Capabilities
#computing #cpu #gpu #airesearch #mlops #nvidiagpu #transformers #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonfr #hackernoonbn #hackernoonru #hackernoonvi #hackernoonpt #hackernoonja #hackernoonde #hackernoonko #hackernoontr
https://hackernoon.com/a-digestible-high-level-overview-of-cpu-and-gpu-capabilities
#computing #cpu #gpu #airesearch #mlops #nvidiagpu #transformers #hackernoontopstory #hackernoones #hackernoonhi #hackernoonzh #hackernoonfr #hackernoonbn #hackernoonru #hackernoonvi #hackernoonpt #hackernoonja #hackernoonde #hackernoonko #hackernoontr
https://hackernoon.com/a-digestible-high-level-overview-of-cpu-and-gpu-capabilities
Hackernoon
A Digestible High-Level Overview of CPU & GPU Capabilities | HackerNoon
CPU & GPU - The Basics - A digestible high-level overview of what happens in The Die
The Most Detailed Guide On MLOps: Part 2
#mlops #mlopstools #mlopspipelines #mlopsplatforms #mlopsengineer #ml #machinelearning #machinelearningtutorials
https://hackernoon.com/the-most-detailed-guide-on-mlops-part-2
#mlops #mlopstools #mlopspipelines #mlopsplatforms #mlopsengineer #ml #machinelearning #machinelearningtutorials
https://hackernoon.com/the-most-detailed-guide-on-mlops-part-2
Hackernoon
The Most Detailed Guide On MLOps: Part 2
Not all market players consciously approach the choice of hardware for the ML-system. This is especially noticeable in terms of GPU selection.
An Architect's Guide to Machine Learning Operations and Required Data Infrastructure
#minio #minioblog #mlops #machinelearningoperations #machinelearning #dataengineering #datalake #goodcompany
https://hackernoon.com/an-architects-guide-to-machine-learning-operations-and-required-data-infrastructure
#minio #minioblog #mlops #machinelearningoperations #machinelearning #dataengineering #datalake #goodcompany
https://hackernoon.com/an-architects-guide-to-machine-learning-operations-and-required-data-infrastructure
Hackernoon
An Architect's Guide to Machine Learning Operations and Required Data Infrastructure
MLOps is a set of practices and tools aimed at addressing the specific needs of engineers building models and moving them into production.
The 10 Key Pillars of MLOps with 10 Top Company Case Studies
#mlops #mlopstools #mlopscasestudies #topcompanies #automation #aienabledcompanies #tenpillarsofmlops #machinelearning
https://hackernoon.com/the-10-key-pillars-of-mlops-with-10-top-company-case-studies
#mlops #mlopstools #mlopscasestudies #topcompanies #automation #aienabledcompanies #tenpillarsofmlops #machinelearning
https://hackernoon.com/the-10-key-pillars-of-mlops-with-10-top-company-case-studies
Hackernoon
The 10 Key Pillars of MLOps with 10 Top Company Case Studies
A tour-de-force of current MLOps techniques and how top Silicon Valley companies are utilizing them to great effect - an inside look.
Welcome to the Multimodal AI Era
#multimodalai #datamanagement #computervision #mlops #dataengineering #aidevelopment #encord #goodcompany
https://hackernoon.com/welcome-to-the-multimodal-ai-era
#multimodalai #datamanagement #computervision #mlops #dataengineering #aidevelopment #encord #goodcompany
https://hackernoon.com/welcome-to-the-multimodal-ai-era
Hackernoon
Welcome to the Multimodal AI Era
Explore the rise of multimodal AI, a new frontier in artificial intelligence that integrates text, images, audio, and video for a more holistic approach.
Let's Build an MLOps Pipeline With Databricks and Spark - Part 2
#mlops #databricks #pyspark #modelmonitoring #featurestore #databricksassetbundles #goodcompany #hackernoontopstory
https://hackernoon.com/lets-build-an-mlops-pipeline-with-databricks-and-spark-part-2
#mlops #databricks #pyspark #modelmonitoring #featurestore #databricksassetbundles #goodcompany #hackernoontopstory
https://hackernoon.com/lets-build-an-mlops-pipeline-with-databricks-and-spark-part-2
Hackernoon
Let's Build an MLOps Pipeline With Databricks and Spark - Part 2
Deploy the model for Batch Inference and model serving using Databricks Unity Catalog