Practical Linear Algebra for #DataScience — From Core Concepts to Applications Using #Python — http://
amzn.to/3WWJKR4
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#DataScientist #AI #ML #MachineLearning #Mathematics #LinearAlgebra #Coding
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Practical Linear Algebra for Data Science with Python Applications
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LangChain Releases Chat-LangChain Open Source Project
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Yes! https://
github.com/langchain-ai/c
hat-langchain
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Create Swarm of Agents with Haystack Framework
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Create a Swarm of Agents | Haystack https://
bit.ly/3ODkE80 #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Enhances Developer Value Rather Than Replacing Them
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There has never been a good time to learn coding. Software developers constitute less than 1% of global population. AI will help developers to build better software applications and faster. The value of developers will not be zero because AI systems can do the work. In fact, the
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Fine-tuning vs Few-shot Learning on ARC Benchmarks
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I don't feel like I've fine-tuned myself in any substantial way on ARC more like a bit of few-shots
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Text-to-SQL Tool for Natural Language Database Queries
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10- Text-to-SQL
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 21 décembre 2024
Optimisez et rationalisez vos flux de travail grâce à l’IA. Effectuez facilement des requêtes SQL en langage naturel.
C'est économique et efficace : transformez vos recherches dans la base de données pour le prix d'une tasse de café !https://t.co/kmb0AFLIOG pic.twitter.com/xCrKGe4P6v10- Text-to-SQL Optimisez et rationalisez vos flux de travail grâce à l’IA. Effectuez facilement des requêtes SQL en langage naturel. C'est économique et efficace : transformez vos recherches dans la base de données pour le prix d'une tasse de café ! https://
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Abacus AI ChatLLM: Data Science Co-Pilot Revolutionizes ML Workflow
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The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
— Kirk Borne (@KirkDBorne) 21 décembre 2024
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production
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>=> an incredible aid to #DataScientists pic.twitter.com/OpvXmxWGd5The future of #DataScience #MachineLearning is now! => Tell the @AbacusAI ChatLLM #AI Assistant ("Data Science Co-Pilot") to:
—Clean, Visualize & Explore data.
—Create #ML features.
—Train & Deploy models.
—Monitor models in production >=> an incredible aid to #DataScientists -
Automating workflows with LLMs after busy period
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12 Days are finally over, and no more big things are expected to arrive. I can finally focus on automations instead of content creation. I was planning to use LLMs for my scripting workflows for a while (so far I was only using AI for writing) Time for Cursor subscription
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ML Model-Serving Patterns and Best Practices Production Guide
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#MachineLearning Model-Serving Patterns & Best Practices — Definitive guide to deploying, monitoring, & providing accessibility to #ML models in production: http://
amzn.to/3vNwKoT v/ @PacktPublishing ——
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -
RAG-Driven Generative AI: Building Custom Retrieval Augmented Generation Pipelines
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RAG-Driven #GenerativeAI — Build custom Retrieval Augmented Generation pipelines: http://
amzn.to/3MWnIek v/ @PacktPublishing ——
#AI #MachineLearning #DataScience #GenAI #LLMs
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𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Implement RAG’s traceable outputs, linking each response to its source