Concept of Self Supervised Learning
Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals.
Self-supervised learning (SSL), a...
What are vector embeddings?
Vector embeddings are numerical representations that capture the relationships and meaning of words, phrases and other data types. Through...
Evan Feng·FollowPublished inThe CoinFund Blog·7 min read·23 hours ago--Bagel Network: The Next-Gen Computable Data Layer for AICoinFund is proud to lead a $3.1 million...
Introduction
Vector Databases have become the go-to place for storing and indexing the representations of unstructured and structured data. These representations are the vector embeddings...
Introduction
In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon,...
Introduction
Welcome to the transformative world of Natural Language Processing (NLP). Here, the elegance of human language meets the precision of machine intelligence. The unseen...
An Informative Guide to Chroma DB: A Vector Store for Enhancing Your Generative AI LLMsIn the world of artificial intelligence (AI), generative models have...
Introduction
A few months back, when I initially began working at Office People, I developed an interest in Language Models, particularly Word2Vec. Being a native...
The complex problems in the world of computers and artificial Intelligence need the aid of deep learning tools. The challenges change with time, and...
Introduction
In today’s fast-paced digital world, spreading fake news has become a significant concern. With the increasing ease of access to social media platforms and...
