Learn With Jay on MSNOpinion

Word2Vec from scratch: Training word embeddings explained part 1

In this video, we will learn about training word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Word embeddings in NLP

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...
Geeky Gadgets

How to use Embeddings in RAG with Llama-Index

In the realm of natural language processing (NLP), the concept of embeddings plays a pivotal role. It is a technique that converts words, sentences, or even entire documents into numerical vectors.
Learn With Jay on MSN

Training word embeddings in Python part 2 | Word2Vec tutorial

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...
InfoQ

Jina AI's Open-Source Embedding Model Outperforms OpenAI's Ada

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Nasdaq

Elasticsearch Open Inference API now Supports Jina AI Embeddings and Rerank Model

Developers using Elastic to build search and RAG applications can now use the latest Jina AI embedding and reranking models without additional integration or development costs “Integrating Jina AI’s ...
SiliconANGLE

Database company Weaviate speeds up AI development with flexible vector embeddings service

Dutch artificial intelligence database startup Weaviate B.V. is looking to streamline the data vectorization process with a new feature that automatically transforms unstructured information into ...