2024, Blog, Clustering and ML - Data Science Current

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction

Towards AI

FEBRUARY 20, 2024

Last Updated on February 20, 2024 by Editorial Team Author(s): Vaishnavi Seetharama Originally published on Towards AI. Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction Everyone is using mobile or web applications which are based on one or other machine learning algorithms.

Machine Learning

Machine Learning Machine Learning ML ML

Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

AWS Machine Learning Blog

APRIL 1, 2024

Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. Distributed model training requires a cluster of worker nodes that can scale. The following figure shows how FSDP works for two data parallel processes.

Clustering

Clustering AWS ML ML

Snowpark ML: How to do Document Classification on Snowflake

phData

JANUARY 30, 2024

This blog was originally written by Travis Hegner and updated for 2024 by Vinicius Olivera. Snowpark ML is transforming the way that organizations implement AI solutions. Snowpark allows ML models and code to run on Snowflake warehouses. Sign up today for unbiased AI/ML advice!

ML

ML ML Python Database

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

The Project Clinic: Assessing Project Health, Planning, and Execution

Leading the Development of Profitable and Sustainable Products

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Strategies for Transitioning Your Career from Data Analyst to Data Scientist–2024

Pickl AI

MAY 15, 2024

So if you are looking forward to a Data Science career , this blog will work as a guiding light. The Insights This comprehensive guide, updated for 2024, delves into the challenges and strategies associated with scaling Data Science careers. Dreaming of a Data Science career but started as an Analyst?

Data Analyst

Data Analyst Data Scientist Data Science Machine Learning

Develop and train large models cost-efficiently with Metaflow and AWS Trainium

AWS Machine Learning Blog

APRIL 29, 2024

In 2024, however, organizations are using large language models (LLMs), which require relatively little focus on NLP, shifting research and development from modeling to the infrastructure needed to support LLM workflows. Metaflow’s coherent APIs simplify the process of building real-world ML/AI systems in teams.

AWS

AWS ML ML Python

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Amazon SageMaker provides purpose-built tools for machine learning operations (MLOps) to help automate and standardize processes across the ML lifecycle. In this post, we describe how Philips partnered with AWS to develop AI ToolSuite—a scalable, secure, and compliant ML platform on SageMaker.

AWS

AWS ML ML AI

Understanding SQL Indexes: The Key to Faster Query Execution

Mlearning.ai

AUGUST 18, 2023

In this blog, I’ll give you a brief about the Index, like what is it and why do we need it, types of Indexes, how index helps to optimize query performance with some examples. I’ll keep this blog simple and beginner-friendly and won’t go in advance topics. Clustered Index It determines the physical order of records in the table.

SQL

SQL Clustering Database Machine Learning

The Shift from Models to Compound AI Systems

BAIR

FEBRUARY 17, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. The text directly below gets tweets to work. Please adjust according to your post.

AI

AI AI DataOps Data Pipeline

Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning Blog

NOVEMBER 30, 2023

AWS innovates to offer the most advanced infrastructure for ML. For ML specifically, we started with AWS Inferentia, our purpose-built inference chip. We expect our first Trainium2 instances to be available to customers in 2024. Customers like Adobe, Deutsche Telekom, and Leonardo.ai

AWS

AWS AI AI ML

Comparison of NVIDIA-A100, H100 and H200 for LLMs

Heartbeat

DECEMBER 5, 2023

This blog will briefly introduce and compare the A100, H100, and H200 GPUs. H200, which is planned to be available for sale in the second quarter of 2024, promises a performance increase exceeding the A100. ? HPC Clusters: H100 GPUs can be integrated into HPC clusters for parallel processing complex tasks across multiple nodes.

Natural Language Processing

Natural Language Processing Deep Learning Deep Learning AI

Beyond Basic Evaluation: LangChain’s Techniques for Language Model Validation

Heartbeat

NOVEMBER 17, 2023

clustering, matching) can dictate the best metric. evaluator.evaluate_strings( prediction="The delivery will be made on 2024-01-05", reference=" *bd{2}-d{2}-d{4}b.*" For shorter texts, like phrases, the absolute position of embeddings can be important, making Euclidean or Manhattan distances more informative.

Algorithm

Algorithm Deep Learning Deep Learning Data Scientist

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

AWS Machine Learning Blog

NOVEMBER 3, 2023

Let’s look at some examples from the current season (2023–2024) The following videos show examples of measured shots that achieved top-speed values. Simultaneously, the shot speed data finds its way to a designated topic within our MSK cluster. The 263 players with at least one fast shot (>100 km/h) have, on average, 3.47

AWS

AWS Apache Kafka Data Scientist Algorithm

Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

APRIL 18, 2024

Nearly all respondents reported promising early results from gen AI experiments and planned to increase their spending in 2024 to support production workloads. 46% of survey respondents in 2024 showed a preference for open source models. These use areas are sure to evolve as AI technology progresses.

AI

AI AI Computer Science Computer Science

The Shift from Models to Compound AI Systems

BAIR

FEBRUARY 18, 2024

Please provide this image (and any other images and GIFs) in the blog to the BAIR Blog editors directly. The `static/blog` directory is a location on the blog server which permanently stores the images/GIFs in BAIR Blog posts. The text directly below gets tweets to work. Please adjust according to your post.

AI

AI AI DataOps Data Pipeline

Getting the Most from LLMs: Building a Knowledge Brain for Retrieval Augmented Generation

Mlearning.ai

DECEMBER 21, 2023

RAG Pipeline This involves the actual RAG process which takes the user query at run time and retrieves the relevant data from the index, then passes that to the model We will focus on the Indexing pipeline in this blog Indexing Pipeline The indexing pipeline sets up the knowledge source for the RAG system.

Database

Database AI AI Machine Learning

How to Optimize GPU Usage During Model Training With neptune.ai

The MLOps Blog

MARCH 28, 2024

GPU and CPU metrics can be monitored using an ML experiment tracker like Neptune, enabling teams to identify bottlenecks and systematically improve training performance. NVIDIA’s blog has a great article on how to Overlap Data Transfers in CUDA. We can also allow GPUs to perform computations and access memory simultaneously.

Deep Learning

Deep Learning Deep Learning Data Pipeline Machine Learning

Data Science Current

Beginner’s Guide to ML-001: Introducing the Wonderful World of Machine Learning: An Introduction

Scale LLMs with PyTorch 2.0 FSDP on Amazon EKS – Part 2

Webinars

Trending Sources

Snowpark ML: How to do Document Classification on Snowflake

Webinars

Strategies for Transitioning Your Career from Data Analyst to Data Scientist–2024

Develop and train large models cost-efficiently with Metaflow and AWS Trainium

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

Understanding SQL Indexes: The Key to Faster Query Execution

The Shift from Models to Compound AI Systems

Welcome to a New Era of Building in the Cloud with Generative AI on AWS

Comparison of NVIDIA-A100, H100 and H200 for LLMs

Beyond Basic Evaluation: LangChain’s Techniques for Language Model Validation

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?

Getting ready for artificial general intelligence with examples

The Shift from Models to Compound AI Systems

Getting the Most from LLMs: Building a Knowledge Brain for Retrieval Augmented Generation

How to Optimize GPU Usage During Model Training With neptune.ai

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