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    Embeddings

    180 курсов
    Vector Databases for Generative AI Applications - Episode 3
    Canonical Ubuntu

    Vector Databases for Generative AI Applications - Episode 3

    Embeddings vs Fine-Tuning - Part 1: Understanding and Implementing Embeddings
    Trelis Research

    Embeddings vs Fine-Tuning - Part 1: Understanding and Implementing Embeddings

    Embeddings vs Fine-Tuning - Supervised Fine-tuning - Part 2
    Trelis Research

    Embeddings vs Fine-Tuning - Supervised Fine-tuning - Part 2

    Advanced Fine-Tuning Techniques for Long Context Summarization
    Trelis Research

    Advanced Fine-Tuning Techniques for Long Context Summarization

    Embeddings and Vectors: The Key to Production AI
    Anyscale

    Embeddings and Vectors: The Key to Production AI

    Building a Chat Assistant with Canopy and Anyscale Endpoints
    Anyscale

    Building a Chat Assistant with Canopy and Anyscale Endpoints

    Deep Ontological Networks: Reasoning Process - Part 2
    Neuro Symbolic

    Deep Ontological Networks: Reasoning Process - Part 2

    Introduction to Language Models - LLMs, Prompt Engineering, and Architectures
    Neuro Symbolic

    Introduction to Language Models - LLMs, Prompt Engineering, and Architectures

    How Fast Can Your Model Composition Run in Serverless Inference?
    CNCF [Cloud Native Computing Foundation]

    How Fast Can Your Model Composition Run in Serverless Inference?

    A Fun and Absurd Introduction to Vector Databases
    GOTO Conferences

    A Fun and Absurd Introduction to Vector Databases

    Pinecone Vector Database - Building Knowledgeable AI
    Pinecone

    Pinecone Vector Database - Building Knowledgeable AI

    End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1
    Krish Naik

    End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1

    Insights from Building Enterprise-Grade ML Experiences at Asana
    Databricks

    Insights from Building Enterprise-Grade ML Experiences at Asana

    Introduction to Vector Search on Databricks
    Databricks

    Introduction to Vector Search on Databricks

    Low Distortion Embeddings With Bottom-up Manifold Learning
    IEEE Signal Processing Society

    Low Distortion Embeddings With Bottom-up Manifold Learning

    Rules to Better ChatGPT and Using the Best API Ever
    NDC Conferences

    Rules to Better ChatGPT and Using the Best API Ever

    Mastering Retrieval for LLMs - BM25, Fine-tuned Embeddings, and Re-Rankers
    Trelis Research

    Mastering Retrieval for LLMs - BM25, Fine-tuned Embeddings, and Re-Rankers

    Understanding Generalization from Pre-training Loss to Downstream Tasks
    Simons Institute

    Understanding Generalization from Pre-training Loss to Downstream Tasks

    Build AI-Supercharged RAG Apps with a Vector Database
    Linux Foundation

    Build AI-Supercharged RAG Apps with a Vector Database

    Building AI Applications with Transformers
    Toronto Machine Learning Series (TMLS)

    Building AI Applications with Transformers

    Qdrant: Open Source Vector Search Engine and Vector Database
    CMU Database Group

    Qdrant: Open Source Vector Search Engine and Vector Database