Author: Niharika Singh

Niharika Singh
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Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.

Decoding Human Risky Choices: Unveiling Dataset Bias in Decision-Making Models Using Machine Learning

In understanding choices, there are two main models: normative and descriptive. Normative models explain why people should make certain decisions based on principles, while...

Meet LLM AutoEval: An AI Platform that Automatically Evaluates Your LLMs in Google Colab

Language Model evaluation is crucial for developers striving to push the boundaries of language understanding and generation in natural language processing. Meet LLM AutoEval:...

Meet AI Gateway: An Open-Sourced Fast AI Gateway Routed to 100+ Large Language Models LLMs with One Fast and Friendly API

In artificial intelligence (AI), developers often face the challenge of efficiently working with many models. The struggle lies in managing different API signatures, preventing...

Meet DeepAIR: A Deep Learning Framework Integrating Sequence and 3D Structure for Advanced Adaptive Immune Receptor Analysis

Studying how our immune system identifies and fights off infections and diseases has always been challenging for scientists. One fundamental process in this intricate...

Meet neograd: A Deep Learning Framework Created from Scratch Using Python and NumPy with Automatic Differentiation Capabilities

Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be challenging....

Meet GPT-Engineer: An Open-Source Artificial Intelligence Framework that Leverages the Power of GPT-4 to Streamline Software Development Process

In the ever-evolving world of software development, expressing ideas and requirements in code can be complex and time-consuming. Many developers face challenges translating their...

Meet Rust Burn: A New Deep Learning Framework Designed in Rust for Optimal Flexibility, Performance, and Ease of Use

This article features this new deep learning framework, RustBurn, which was developed entirely in the Rust programming language. The core principles of flexibility, performance,...

Meet GPT4Free: An Artificial Intelligence-Based Software Package that Reverse-Engineers APIs to Grant Anyone Free Access to Popular AI Models like OpenAI’s GPT-4 

A growing issue in the artificial intelligence world is stirring discussions – the restricted access to advanced AI models. These models, like GPT-3.5 and...

Meet Fusilli: A Python Library for Multi-Modal Data Fusion in Machine Learning

In today's data-driven world, handling diverse data types like images, tables, or text has become a norm. However, combining these varied data sets to...

Meet LLama.cpp: An Open-Source Machine Learning Library to Run the LLaMA Model Using 4-bit Integer Quantization on a MacBook

In deploying powerful language models like GPT-3 for real-time applications, developers often need high latency, large memory footprints, and limited portability across diverse devices...

Meet Vald: An Open-Sourced, Highly Scalable Distributed Vector Search Engine

The challenge of efficiently searching and retrieving information in digital data has become more pronounced. Traditional search methods need help with vast amounts of...

This AI Paper Tests the Biological Reasoning Capabilities of Large Language Models

A team of researchers from the University of Georgia and Mayo Clinic explored how well powerful computer algorithms, known as Large Language Models (LLMs),...