Tags
Language
Tags
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Creating a Chat Tool Using OpenAI Models and Pinecone [Repost]

    Posted By: IrGens
    Creating a Chat Tool Using OpenAI Models and Pinecone [Repost]

    Creating a Chat Tool Using OpenAI Models and Pinecone
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 31m | 213 MB
    Instructor: Guil Hernandez

    Embeddings and vector databases allow developers to create tools that can retrieve knowledge from custom documents and use it to form more accurate and dynamic conversations. But while cutting-edge AI models like ChatGPT can generate useful conversational responses to many different kinds of queries, the replies are always limited to the data that was available when the model was last trained. In this course, instructor Guil Hernandez offers an overview of text embeddings, vector databases, and retrieval-augmented generation (RAG) to elevate and optimize your AI learning journey. Along the way, test out your new skills in the exercise challenges provided at the end of each section.

    Learning objectives

    • Discover embeddings in the context of generative AI.
    • Set up and store embeddings in a vector database.
    • Utilize best practices related to retrieval-augmented generation (RAG).
    • Generate conversational responses from data retrieved from a vector database using OpenAI models and Pinecone.

    Creating a Chat Tool Using OpenAI Models and Pinecone [Repost]