The MLOps Blog

JUNE 27, 2023

For example, if your team is proficient in Python and R, you may want an MLOps tool that supports open data formats like Parquet, JSON, CSV, etc., It enables data scientists to log, compare, and visualize experiments, track code, hyperparameters, metrics, and outputs. and Pandas or Apache Spark DataFrames.

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Tuesday is the first day of the AI Expo and Demo Hall , where you can connect with our conference partners and check out the latest developments and research from leading tech companies. Finally, get ready for some All Hallows Eve fun with Halloween Data After Dark , featuring a costume contest, candy, and more. What’s next?

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phData

JANUARY 31, 2024

Applying Machine Learning with Snowpark Now that we have our data from the Snowflake Marketplace, it’s time to leverage Snowpark to apply machine learning. Python has long been the favorite programming language of data scientists. For a short demo on Snowpark, be sure to check out the video below.

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Iguazio

JANUARY 22, 2024

Demo: How to Build a Smart GenAI Call Center App How we used LLMs to turn call center conversation audio files of customers and agents into valuable data in a single workflow orchestrated by MLRun. The data pipeline - Takes the data from different sources (document, databases, online, data warehouses, etc.),

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IBM Journey to AI blog

NOVEMBER 3, 2023

In this spirit, IBM introduced IBM Event Automation with an intuitive, easy to use, no code format that enables users with little to no training in SQL, java, or python to leverage events, no matter their role. Request a live demo to see how working with real-time events can benefit your business. Hungry for more?

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The MLOps Blog

SEPTEMBER 7, 2023

These combinations of Python code and SQL play a crucial role but can be challenging to keep them robust for their entire lifetime. Directives and architectural tricks for robust data pipelines Gain insights into an extensive array of directives and architectural strategies tailored for the development of highly dependable data pipelines.

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AWS Machine Learning Blog

DECEMBER 6, 2023

For this architecture, we propose an implementation on GitHub , with loosely coupled components where the backend (5), data pipelines (1, 2, 3) and front end (4) can evolve separately. Choose the link with the following format to open the demo: [link]. We use the following Python script to recreate tables as pandas DataFrames.

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Snorkel AI

JANUARY 24, 2023

Snowpark, which is Snowflake’s developer framework that extends the benefits of the Data Cloud beyond SQL to Python, Scala, and Java, can be used to scale batch inference across your Snowflake data warehouse. Schedule a custom demo tailored to your use case with our ML experts today.

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Snorkel AI

JANUARY 24, 2023

Snowpark, which is Snowflake’s developer framework that extends the benefits of the Data Cloud beyond SQL to Python, Scala, and Java, can be used to scale batch inference across your Snowflake data warehouse. Schedule a custom demo tailored to your use case with our ML experts today.

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Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

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Mlearning.ai

JUNE 16, 2023

GPT-4 Data Pipelines: Transform JSON to SQL Schema Instantly Blockstream’s public Bitcoin API. Advise on getting started on topics Recommend get started materials Explain an implementation Explain general concepts in specific industry domain (e.g.

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phData

AUGUST 22, 2024

Consider a data pipeline that detects its own failures, diagnoses the issue, and recommends the fix—all automatically. This is the potential of self-healing pipelines, and this blog explores how to implement them using dbt, Snowflake Cortex , and GitHub Actions. python/requirements.txt - name: Trigger dbt job run: | python -u./python/run_monitor_and_self_heal.py

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DagsHub

MAY 7, 2024

The below image shows a machine learning model testing pipeline proposed by Jeremy Jordan that incorporates these best practices: Tools for Testing Machine Learning Models 1. GitHub stars) Deepchecks is an open-source Python tool for validating machine learning models and data. Deepchecks (3.3k Drawbacks 1. Drawbacks 1.

Machine Learning 52

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DagsHub

MAY 7, 2024

The below image shows a machine learning model testing pipeline proposed by Jeremy Jordan that incorporates these best practices: Tools for Testing Machine Learning Models 1. GitHub stars) Deepchecks is an open-source Python tool for validating machine learning models and data. Deepchecks (3.3k Drawbacks 1. Drawbacks 1.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

ODSC - Open Data Science

JANUARY 3, 2025

Finally, Week 4 ties it all together, guiding participants through the practical builder demos from cloning compound AI architectures to building production-ready applications. Finally, participants will build their own AI Agent from scratch using Python and AI orchestrators like LangChain.

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BAIR

FEBRUARY 18, 2024

We frequently see this with LLM users, where a good LLM creates a compelling but frustratingly unreliable first demo, and engineering teams then go on to systematically raise quality. Python code that calls an LLM), or should it be driven by an AI model (e.g. Systems can be dynamic. LLM agents that call external tools)?

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The MLOps Blog

MARCH 21, 2023

An ML platform standardizes the technology stack for your data team around best practices to reduce incidental complexities with machine learning and better enable teams across projects and workflows. We ask this during product demos, user and support calls, and on our MLOps LIVE podcast. Data engineers are mostly in charge of it.

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The MLOps Blog

MAY 9, 2023

Metaflow differs from other pipelining frameworks because it can load and store artifacts (such as data and models) as regular Python instance variables. Anyone with a working knowledge of Python can use it without learning other domain-specific languages (DSLs). This demo uses Arrikto MiniKF v20210428.0.1

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