How to build a GPT model?

GPT is the first generalized language model ever created in the history of natural language processing that can be used for various NLP tasks. Discover how to build a GPT model in this step-by-step guide.

Intelligent Document Processing (IDP)

Streamlining document workflows: The power of Intelligent Document Processing (IDP)

IDP is an AI powered document processing technique that not just scans and captures structured, unstructured and semi-structured data, but also understands it deeply.

Decision Transformer Model

The decision transformer model: A new dimension in reinforcement learning

Decision Transformers stand as a beacon of progress in the reinforcement learning landscape, poised to reshape how intelligent agents are trained and interact with their environments.

Generative AI models

Understanding generative AI models: A comprehensive overview

Generative AI is a technology used to generate new and original content. It leverages advanced algorithms and neural networks to autonomously produce outputs that mimic human creativity and decision-making.

synthetic data

What is synthetic data and how to create it?

Synthetic data is artificially generated data replicating real data’s statistical properties and characteristics without containing sensitive information.

LLM-powered application

Build an LLM-powered application using LangChain: A comprehensive step-by-step guide

LangChain is a framework that provides a set of tools, components, and interfaces for developing LLM-powered applications.

Data annotation: The key to AI model accuracy

Data annotation is adding labels or tags to a training dataset to provide context and meaning to the data.

Optimizing pre-trained models: A guide to Parameter-efficient Fine-tuning (PEFT)

Parameter-efficient Fine-tuning (PEFT) is a technique used in Natural Language Processing (NLP) to improve the performance of pre-trained language models on specific downstream tasks.

Large Language Models

How to build a private LLM?

Language models are the backbone of natural language processing (NLP) and have changed how we interact with language and technology.


Auto-GPT: Unleashing the power of autonomous AI agents

Auto-GPT is an autonomous tool that allows large language models (LLMs) to operate autonomously, enabling them to think, plan and execute actions without constant human intervention.

Exploratory Data Analysis (EDA)

EDA allows for exploring and examining data for important insights before the actual data analysis process begins. Check out this article to explore the importance, process and techniques of EDA.

Enterprise generative ai architecture

Generative AI for enterprises: The architecture, its implementation and implications

By understanding the architecture of generative AI, enterprises can make informed decisions about which models and techniques to use for different use cases.

Reinforcement learning from human feedback (RLHF) : A comprehensive overview

Reinforcement learning from human feedback (RLHF) is a machine learning approach that leverages a combination of human feedback and reinforcement learning to train AI models.