AI Advances

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

Todd Lankford?highlights how AI can identify inefficiencies, automate repetitive tasks, spark creative problem-solving, and support meaningful change, offering a roadmap for leveraging AI to foster healthier, more engaged teams in the modern workplace. https://lnkd.in/e69h3X-k

Big tech companies already influence how we consume news, and now AI giants like OpenAI are joining the mix. Drawing from personal reflections and practical insights gained at recent conferences, Jing H. offers a thought-provoking exploration of AI's impact on storytelling, journalism, and design. Don’t miss her talk at the Annual Publishing Conference 2024. https://lnkd.in/eGymcpU8

Nathan Combs?explores collaborative software development with generative AI. By applying Yehonathan Sharvit’s "brain spans" hypothesis to human-AI interaction, he demonstrates how iterative problem-solving, selective refinement, and AI peer-review can enhance coding outcomes. The article provides valuable insights on human-AI synergy in software engineering. https://lnkd.in/eJS8br3G

Krisztian Magori?provides a critical evaluation of ChatGPT-4o's capabilities in performing advanced multivariate statistical techniques. He benchmarks its performance against established tools like R, providing a nuanced analysis of its strengths and limitations. It turns out while ChatGPT-4o demonstrated proficiency in simpler tasks like Principal Component Analysis, it struggles with more complex methods, such as Redundancy Analysis and Canonical Correspondence Analysis. https://lnkd.in/eQn4gzCh

Have LLMs hit their performance ceiling??Muhammad Saad?separates fact from fiction, exploring the origins of these rumors and examining the evidence—or lack thereof—behind them. https://lnkd.in/gitN6Fc2

This is a thought-provoking exploration of AI’s impact on human self-perception and values. With eloquent analogies from history and philosophy,?Michael Heine?draws parallels between humanity's past transformative moments and the existential challenges posed by AI today. By advocating for a future that preserves human authenticity, compassion, and cultural resilience amidst rapid technological change, he inspires a balanced and hopeful vision for humanity’s coexistence with AI and a call to align innovation with our deepest values. https://lnkd.in/e7CzvxKE

Amber Walker?explains the process of using a U-Net architecture for building footprint segmentation from aerial imagery. By achieving desirable accuracy and Dice metrics, she showcases the power of neural networks in high-dimensional data analysis and image processing. https://lnkd.in/e8wU6BVU