Главная
Study mode:
on
You
History
Saved
In progress 0 courses
compleat 0 courses
#Art & Design #Adobe #ChatGPT #GitHub

#Text Embedding

Showing: 24 courses
The Machine Learning Engineer

Langchain: Integrating ElasticSearch Vector Store and RAG with Gemini

0 rewiews
Explora la integración de Langchain con ElasticSearch y aprende a implementar aplicaciones RAG utilizando Gemini como modelo base y ElasticSearch como almacén de vectores.
Add to list
1 Lesons
25 minutes
On-Demand
Free-Video
Shaw Talebi

Building Machine Learning Solutions with Python - Code Walkthrough

0 rewiews
Develop a semantic search tool for YouTube videos using Python, focusing on experimentation, evaluation, and UI building in machine learning solutions.
Add to list
10 Lesons
45 minutes
On-Demand
Free-Video
Discover AI

How to Import and Query Large PDF Collections in Language Models

0 rewiews
Discover practical techniques for integrating and querying thousands of PDF documents with large language models to enable efficient corporate data analysis and Q&A capabilities.
Add to list
1 Lesons
14 minutes
On-Demand
Free-Video
echohive

Building a Local SQLite Vector Database for Multi-Modal Image Search

0 rewiews
Build a SQLite vector database for image search using embeddings and GPT Vision, enabling cosine similarity queries to find relevant images based on user input.
Add to list
9 Lesons
16 minutes
On-Demand
Free-Video
Qdrant - Vector Database & Search Engine

Building a RAG Chatbot with LangChain, OpenAI, and Groq

0 rewiews
Learn to build a RAG-powered chatbot from scratch using LangChain, OpenAI's GPT-3.5-turbo, and Qdrant vector database for enhanced knowledge retrieval and response generation.
Add to list
1 Lesons
20 minutes
On-Demand
Free-Video
Discover AI

Visualizing Data Integration Between ChatGPT and Enterprise Systems

0 rewiews
Discover how to integrate enterprise data with ChatGPT through OpenAI plugins, vector stores, and semantic search capabilities, focusing on GPT-4's dynamic data flow and PostgreSQL integration.
Add to list
1 Lesons
26 minutes
On-Demand
Free-Video
Prodramp

Prompt Engineering - Understanding Large Language Models with ChatGPT

0 rewiews
Explore large language models and ChatGPT through prompt engineering. Learn about transformer architecture, text embedding, self-attention, and key deep learning methods with practical Python examples.
Add to list
17 Lesons
36 minutes
On-Demand
Free-Video
Samuel Chan

LangChain and HuggingFace Integration - Using GPT-2 Without OpenAI Credits

0 rewiews
Explore LangChain with GPT-2 and HuggingFace for AI development without OpenAI costs. Learn to integrate cutting-edge LLMs, text embeddings, and vector stores for innovative applications.
Add to list
1 Lesons
25 minutes
On-Demand
Free-Video
Samuel Chan

LangChain and OpenAI Tutorial - Building a Q&A System with Custom Text Data

0 rewiews
Learn to build an AI-powered Q&A system using LangChain and OpenAI. Explore text embeddings, vector stores, and agent chaining to create a custom question-answering tool with your own data.
Add to list
1 Lesons
20 minutes
On-Demand
Free-Video
James Briggs

Chatbots with RAG - LangChain Full Walkthrough

0 rewiews
Comprehensive walkthrough on building a chatbot using Retrieval Augmented Generation, covering LangChain, OpenAI's GPT-3.5-turbo, embeddings, and Pinecone vector database for enhanced accuracy and context.
Add to list
10 Lesons
36 minutes
On-Demand
Free-Video
Yannic Kilcher

Text Embeddings Reveal Almost As Much As Text - Iterative Embedding Inversion

0 rewiews
Explore how text embeddings can potentially reconstruct original text, discussing methods, implications, and prevention strategies for this emerging privacy concern in natural language processing.
Add to list
6 Lesons
37 minutes
On-Demand
Free-Video
Code with Ania Kubów

Vector Embeddings for Beginners - OpenAI

0 rewiews
Learn to create and utilize vector embeddings for AI applications, including text analysis, database integration, and building an AI assistant using OpenAI and Langchain.
Add to list
9 Lesons
36 minutes
On-Demand
Free-Video
James Briggs

OpenAI's New Embedding Models: Performance and Usage - Text-Embedding-3-Small and Text-Embedding-3-Large

0 rewiews
Explore OpenAI's new embedding models, their performance gains, dimensionality options, and practical applications in semantic search and AI development.
Add to list
5 Lesons
17 minutes
On-Demand
Free-Video
Open Data Science

Building Multimodal Question-Answering (RAG) System with Gemini

0 rewiews
Leverage Gemini's 2M context window and multimodal input to build a financial analysis Q&A system. Explore Vertex Gemini API, text-embeddings, and cross-modal reasoning capabilities.
Add to list
1 Lesons
53 minutes
On-Demand
Free-Video
James Briggs

Intro to Multi-Modal ML with OpenAI's CLIP

0 rewiews
Explore OpenAI's CLIP for multi-modal machine learning, combining text and image understanding. Learn to create embeddings, perform similarity searches, and leverage CLIP's capabilities using Hugging Face.
Add to list
8 Lesons
23 minutes
On-Demand
Free-Video
Shaw Talebi

How to Improve LLMs with RAG - Overview and Python Code

0 rewiews
Learn to enhance LLMs using Retrieval Augmented Generation (RAG). Explore its principles, implementation, and practical application in improving a fine-tuned model for YouTube comment responses.
Add to list
9 Lesons
22 minutes
On-Demand
Free-Video
Shaw Talebi

Text Embeddings, Classification, and Semantic Search with Python Code

0 rewiews
Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.
Add to list
7 Lesons
25 minutes
On-Demand
Free-Video
Google Cloud Tech

Generative AI Text and Multimodal Embedding Models for Real-World Use Cases

0 rewiews
Explore Vertex AI's text and multimodal embedding capabilities for innovative business solutions. Learn evaluation frameworks and applications in textual similarity tasks.
Add to list
1 Lesons
33 minutes
On-Demand
Free-Video
The Machine Learning Engineer

RAG - Extracting Information from PDFs Using LlamaIndex, Gemini, and Nvidia NIM with Llama 3.2

0 rewiews
Aprende a extraer información de PDFs utilizando LlamaIndex, implementando modelos como Gemini y Nvidia NIM para embeddings junto con LLama 3.2 para procesamiento de lenguaje natural.
Add to list
1 Lesons
41 minutes
On-Demand
Free-Video
OpenSource Connections

Nixiesearch - Building a Serverless Search Engine with Lucene on S3

0 rewiews
Explore how Nixiesearch leverages Lucene over S3 to create a simplified, serverless search engine with built-in AI capabilities, including RAG and text+image embeddings for modern search solutions.
Add to list
1 Lesons
45 minutes
On-Demand
Free-Video
Center for Language & Speech Processing(CLSP), JHU

Nugget: Neural Agglomerative Embeddings of Text

0 rewiews
Explore dynamic text embedding with Nugget, a novel approach for encoding language into meaningful units, enhancing semantic comparison and expanding contextual windows in language models.
Add to list
1 Lesons
37 minutes
On-Demand
Free-Video
Databricks

State-of-the-Art Retrieval Augmented Generation at Scale in Spark NLP

0 rewiews
Efficient scaling of RAG systems using Spark NLP: pre-processing, embedding calculation, post-processing, and integration with LangChain and HayStack for production-grade LLM systems.
Add to list
1 Lesons
33 minutes
On-Demand
Free-Video
OpenSource Connections

Lightning Talks on Search Relevance and AI - Haystack US 2024

0 rewiews
Explore cutting-edge search and AI topics through lightning talks from Haystack US 2024. Gain insights on information retrieval, LLMs, vector search, semantic search, and more from industry experts.
Add to list
1 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Data Science Festival

Building RAG Applications from Scratch with NVIDIA NIM Microservices

0 rewiews
Dive into building scalable RAG applications using NVIDIA NIM microservices, covering text embedding, reranking, and chatbot integration for high-performance AI deployment.
Add to list
1 Lesons
43 minutes
On-Demand
Free-Video