and as teased on the pod, @DedyKredo just launhced @QodoAI Cover – an agent that automaticaly extends test coverage! https://
qodo.ai/blog/automate-
test-coverage-introducing-qodo-cover/
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CODE
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Qodo Cover: AI Agent Automates Test Coverage Extension
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AI-Optimized Serverless Data Warehouse Complete Guide
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This is your complete how-to guide for data warehousing – with reference architectures, best practices and code samples to help you get started. Dive into the benefits of a AI-optimized serverless data warehouse and steps you can take. https://
dbricks.co/49iOS9A -
Open Artifacts Required for Blog Post Coverage
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i'll take blogposts as long as they come with open artefacts on the hub
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Improving Data Discovery in RAG Applications: From Keywords to GraphRAG
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Good morning everyone! In this iteration, we’re exploring how to improve how you find information in your RAG applications. We’ll cover everything from old-school keyword searches to more recent methods such as GraphRAG. By the end, you’ll know exactly how to make your data
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Generate SQL Commands with Natural Language Using Abacus AI ChatLLM
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You can use natural language to generate your #SQL commands using @AbacusAI ChatLLM Teams! Get FREE TRIAL at https://t.co/73VwIlbcQ3
— Kirk Borne (@KirkDBorne) 4 décembre 2024
🚀🌟
ChatLLM Teams offers all state-of-the-art #LLMs in one place, and ChatLLM is cheaper than paying for each LLM separately; it’s only $10/month pic.twitter.com/Cnvqb5UbWjYou can use natural language to generate your #SQL commands using @AbacusAI ChatLLM Teams! Get FREE TRIAL at https://
chatllm.abacus.ai/?token=kirk ChatLLM Teams offers all state-of-the-art #LLMs in one place, and ChatLLM is cheaper than paying for each LLM separately; it’s only $10/month -
Built with Replit: Development Platform for AI Projects
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Built with Replit. Check it out 👇 https://t.co/9OHU04PIXG
— Replit ⠕ (@Replit) 4 décembre 2024Built with Replit. Check it out
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Master Marketing Analytics with Python and Generative AI
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Marketing #Analytics #DataScience #MachineLearning Become a master—> http://
amzn.to/3UfluKn
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With #Python —> http://
amzn.to/307NHu6
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Classic, with foundational algorithms—> http://
amzn.to/2CzPkCR
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With #GenerativeAI —> http://
amzn.to/4dNES9Z
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#AI #Martech #CMO #Adtech -
Contrarian approach to proving novel ML technique viability
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They thought it wouldn't work, and I was contrarian enough to go home and code it up to prove that it would. But it's a good thing we didn't know about MMD (kernelized moment matching) or we would have just done that instead of inventing something new.
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Scaling Machine Learning: Third Order Moments vs Discriminator Approach
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At the party, the people on the generator / moment matching party asked me for software engineering advice: how to scale up to third order moments? I said this was doomed to fail and counterproposed the discriminator idea.