NEW RELEASE from @PacktDataML >> "LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development" See it at https://
amzn.to/4pJK98J ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท:
Apply design patterns to integrate LLMs into enterprise
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LLMs in Enterprise: Design Patterns and Best Practices Guide
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LangChain and Oxylabs Guide for AI Web Scraping Solutions
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LangChain + Oxylabs Guide Just released a guide showing how to build AI-powered web scraping solutions by combining LangChain's intelligence with Oxylabs' scraping infrastructure. Supports multiple languages and integration methods. Learn more here https://
oxylabs.io/blog/langchain
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Open-Source LangGraph Agent Generates Authentic Social Media Content
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Social Media AI Agent An open-source project using LangGraph that maintains your authentic social media presence by analyzing your writing style and automatically generating content that matches your voice. Check it out https://
mranand.substack.com/p/social-media
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Football Analytics with Python and R for Data Science Learning
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(*AMERICAN*) Football #Analytics with #Python and R โ Learning #DataScience Through the Lens of Sports: http://
amzn.to/46SZzNH
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#DataScientist #SportsAnalytics #AI #MachineLearning #ML #PredictiveAnalytics #DataStrategy #CDO #CMO -
100+ Free AI Agents and RAG Tutorials Released
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Stay tuned for more such interesting posts โ @Saboo_Shubham_ I have created 100+ AI Agents and RAG tutorials, 100% free and opensource. P.S: Don't forget to star the repo to show your support
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100+ Free Step-by-Step AI Agents and RAG Systems Tutorials
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100+ free step-by-step tutorials with code covering: AI Agents RAG Systems Voice AI Agents MCP AI Agents Multi-agent Teams Autonomous Game Playing Agents P.S: Don't forget to subscribe for FREE to access future tutorials.
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Open-source RAG framework handles multimodal content seamlessly
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All-in-One RAG framework that can handle multimodal text, visual diagrams, tables, formulas and more in one cohesive interface. And it's 100% Opensource.
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Google: 90% of developers now use AI tools
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3. Google: 90% of devs use AI tools Google Cloudโs DORA report shows adoption has surged, but trust in AI outputs remains low, a gap between usage and confidence.
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Synthetic Data Translation: Tool-Calling LLMs Over Language Retraining
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If you can just trivially create synthetic data from one language to the other, then that's not a new concept of a programming language, just a remapping. No need to retrain the LLM, just use a tool-calling LLM.
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High School Mathematics Foundation for Data Science and Machine Learning
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High school #Mathematics โ foundation for #DataScience and #MachineLearning โ
http://
bit.ly/31x9U14
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#AI #ML #DataScientist #Calculus #LinearAlgebra #Probability #Statistics #Python
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Learn Beginning, Intermediate, and Advanced Calculus here: http://
amzn.to/3KFVOjG