AI Advances

Retrieval Augmented Generation (RAG) is a pivotal technique shaping the landscape of applied generative AI by enhancing the reliability and trustworthiness of outputs from LLMs. To better learn RAG, you’ll find great value in?Abhinav Kimothi’s curated set of 80 questions, organized into 8 thematic categories, offering a comprehensive resource on this critical subject. https://lnkd.in/eMAaxJSg

Kaitai Dong PhD, PMP??showcases how to build a self-reflective Retrieval Augmented Generation (Self-RAG) framework for a Telegram trip-planning bot. The integration of LangGraph, AWS services, and cutting-edge AI techniques not only empowers developers to build scalable, user-friendly tools but also showcases the transformative potential of customized AI solutions. https://lnkd.in/eGM3N6D8

Welcome to the 15th?issue of The Democratized AI, where we continue to explore AI advancements and practical applications spanning diverse industries. This month, we published 131 articles, 44 of them are featured in this newsletter. Notably, 27 articles received a Boost, achieving a record-high Boosting ratio of 21%. This month's highlights include: ·??????AI in Industry Solutions: Discover the transformative power of AI in fields like medical data management, power plant optimization, and restaurant automation. ·??????AI in Cryto: With bitcoin prices surpassing $10,000 after Trump’s victory, learn token economics at the intersection of AI and finance.?? ·??????AI in LLMs and Data Science: Gain insights into optimizing vector search, multilingual embeddings, and the limitations of LLMs in advanced tasks like Generalized Additive Models. ·??????AI in Education and Tools: Explore hands-on guides to creating proprietary chatbots, transforming web content into podcasts, and mastering creative tools. ·??????AI in Perspectives: From ethical dilemmas in self-driving cars to the irreplaceable value of human judgment, this section offers thought-provoking explorations of AI's societal impact. Whether you're an AI enthusiast, developer, or industry leader, this issue offers a wealth of knowledge and inspiration for harnessing AI's potential across disciplines. Enjoy! https://lnkd.in/eH4aaEEN

Sixing Huang transforms DrugBot into a highly adaptive, context-aware tool capable of memory retention, complex query generation, and human-in-the-loop interaction. This innovative framework empowers patients and researchers to navigate a comprehensive drug trial database with ease and precision, exemplifying the transformative potential of AI in healthcare and data management. https://lnkd.in/e_2Ajtf3

CryptoExplainer?empowers readers to explore and innovate in the rapidly evolving world of crypto via this comprehensive guide. From writing smart contracts in Solidity to deploying tokens, verifying contracts, and understanding token economics, he demystifies the process of developing a BEP-20 token on the Binance Smart Chain testnet, making it accessible to both beginners and experienced developers. https://lnkd.in/gDKgY4NG

Turibio Hilaire?provides a guide that empowers creators to harness AI for end-to-end music production. By emphasizing the importance of personal input and creative ownership, the article not only inspires musicians to innovate but also equips them with tools to navigate emerging industry standards. https://lnkd.in/g8--EBaW

aisuite, an open-source Python library developed by Andrew Ng’s team, offers a unified interface for interacting with various LLMs from different providers. Learn more about it in this article published by AI Advances. https://lnkd.in/gWu7WGJG

MANPREET SINGH?provides a practical guide to building an AI-powered phone assistant for restaurants. He blends Vapi, OpenAI, and Google integrations to create a personalized, efficient, and customer-friendly system. The article is a standout resource for businesses looking to embrace AI solutions. https://lnkd.in/gxaKcymZ

Angela Teng?did a comprehensive exploration of Natural Language Generation (NLG). The step-by-step code demonstrations, class references, and integration of cutting-edge AI tools make this article a valuable resource for AI engineers, educators, and businesses. https://lnkd.in/ehiCKVnh

In this article published by AI Advances, learn how to use Ollama to create vector embeddings for your RAG application via LlamaIndex. You will also learn how to store these embeddings in a vector database like Chroma. https://lnkd.in/gZrsEECh