This is huge news. Mistral 7B was already the best model in its size class, and these improvements are a huge step up. I’ll be re-training many of my current fine-tunes over this model ASAP.
MACHINE LEARNING
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Google GIVT: Generative Infinite Vocabulary Transformers Breakthrough
By
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https://
drdebashisdutta.com/introducing-gi
vt-google-researchs-breakthrough-in-real-valued-vector-sequences-with-generative-infinite-vocabulary-transformers/
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Working with Machine Learning Models in Data Science
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Working with #MachineLearning model
by @DataScienceDojo #BigData #MachineLearning #ArtificialIntelligence #ML #MI #DataScience cc: @pbalakrishnarao @rtehrani @pascal_bornet -
Top 6 Data Management Patterns for Effective Data Handling
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How to manage data — here are top 6 #DataManagement patterns!
— Kirk Borne (@KirkDBorne) 23 mars 2024
Source: https://t.co/aO2Ln0CBXG pic.twitter.com/VWTA1iVFCcHow to manage data — here are top 6 #DataManagement patterns! Source: https://
blog.bytebytego.com -
Building RAG Systems for Powerful Data Access
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How to Make a RAG System to Gain Powerful Access to Your Data This article is a great introduction to RAG, and walks through a few important steps of a RAG pipeline: Retrieve Data
Pre-process Data
Implement RAG
Test https://
towardsdatascience.com/how-to-make-a-
rag-system-to-gain-powerful-access-to-your-data-caf4bb9186ea
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That’s a Wrap: Daily Python, Data Science, and ML Content
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That's a wrap! Every day, I share and simply content around Python, Data Science, Machine Learning & Large Language Models. Find me → @Sumanth_077 Like/RT the first tweet and help this reach more people.
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AI Integration Simplifies MLOps and ETL Pipeline Complexity
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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 -
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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Comcast Enhances Voice Interfaces with Data-Centric AI
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Jan Neumann, Vice President, Machine Learning at Comcast Applied AI and Discovery, offers a deep dive into how Comcast is leveraging data-centric AI to enhance their voice and conversational interfaces, making them more intuitive and user-friendly.
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A/B Testing Guide: Essential Resource for Data-Driven Marketing
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Guide to A/B Testing: https://
blog.hubspot.com/marketing/how-
to-do-a-b-testing
… by @HubSpot ————
#ABtesting #BigData #DataScience #Statistics #Martech #DigitalMarketing #CultureOfExperimentation #CX #DesignThinking #AI #MachineLearning
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See these books:
1) http://
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2) http://
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