By bringing AI directly to data developers and organizations can avoid the complexity of building and integrating MLOps and ETL pipelines as well as migrating and duplicating data across multiple environments. Check this out: https://
superduperdb.com
@sumanth_077
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AI Integration Simplifies MLOps and ETL Pipeline Complexity
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SuperDuperDB Simplifies AI Integration Without Data Migration
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@SuperDuperDB eliminates complex MLOps pipelines, specialized vector databases – and the need to migrate and duplicate data by integrating AI at the data’s source, directly on top of your existing data infrastructure. This simplifies building and managing AI applications.
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SuperDuperDB: Open-Source Framework for AI-Powered Database Applications
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Bringing AI into your Databases!
— Sumanth (@Sumanth_077) 23 mars 2024
Introducing SuperDuperDB an open-source framework for building AI Applications right in your databases. pic.twitter.com/MOE2cQsG0RBringing AI into your Databases! Introducing SuperDuperDB an open-source framework for building AI Applications right in your databases.
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Free Course: Building Production LLM Applications
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Building Real-World Applications with Large Language Models! A Free course that teaches you everything you need to build real-world, production applications with large language models. It also covers essential topics such as experiment management and model versioning,
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Advanced NLP Course from Carnegie Mellon University Available on YouTube
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Advanced NLP from Carnegie Mellon University! The course covers state-of-the-art NLP techniques & algorithms. One of the best NLP courses on the web. http://
youtube.com/playlist?list=
PL8PYTP1V4I8D0UkqW2fEhgLrnlDW9QK7z
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Daily Content on Python, Data Science, Machine Learning, and More
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That's a wrap! If you are interested in: – Python
– Data Science
– Machine Learning
– Data Analysis
– MLOps
– NLP
– Computer Vision I'm sharing daily content over here, follow me → @Sumanth_077 if you haven't already! -
Leverage Pre-trained NLP Models Inside Your Database with MindsDB
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That's how you can leverage the pre-trained Models from HF and Open AI to build NLP Applications right inside your DB. MindsDB is Open Source, check out the Github Repo here: https://
github.com/mindsdb/mindsdb -
Wait for HF Model Setup Completion Before Text Classification
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Once you set up the HF Model wait until the Status is "completed" Now use the model to classify the Text.
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Creating a Text Sentiment Classifier with Hugging Face
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Now, get your pre-trained model! Let's create a text sentiment classifier using Hugging Face. For that get the model from HF and apply the Sentiment Analysis to the review Table
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MindsDB: Bring Machine Learning into Your Database
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MindsDB helps in bringing machine learning into databases and it's completely open source. To better understand let's build a simple Sentiment Classifier model on Text Data. All you want to do is go to http://
mindsdb.com, create a Free Demo Account, and get started.