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.

Meet the OCR Toolkit: A Versatile Python Package for Seamlessly Integrating and Experimenting with Various OCR and Object Detection Frameworks

In the present digital world, converting images of text into editable text, a process known as Optical Character Recognition (OCR), is a common task....

RAGTune: An Automated Tuning and Optimization Tool for the RAG (Retrieval-Augmented Generation) Pipeline

Optimizing the Retrieval-Augmented Generation (RAG) pipeline poses a significant challenge in natural language processing. To achieve optimal performance, developers often struggle with selecting the...

Hidet: An Open-Source Python-based Deep Learning Compiler

The demand for optimized inference workloads has never been more critical in deep learning. Meet Hidet, an open-source deep-learning compiler developed by a dedicated...

FuzzTypes: A Python Library for Creating Custom Annotation Types that ‘Autocorrect’ Data

Managing and validating structured data efficiently poses a significant challenge in today's digital age. Traditional methods of function calling or JSON schema validation often...

Meet Rerankers: A Lightweight Python Library to Provide a Unified Way to Use Various Reranking Methods

In the world of information retrieval, one common challenge is document reranking. It's a powerful technique but can be intimidating for those unfamiliar with...

Meet Ragas: A Python-based Machine Learning Framework that Helps to Evaluate Your Retrieval Augmented Generation (RAG) Pipelines

In language models, there's a sophisticated technique known as Retrieval Augmented Generation (RAG). This approach enhances the language model's understanding by fetching relevant information...

Meet Magika: A Novel AI-Powered File Type Detection Tool that Relies on the Recent Advances of Deep Learning to Provide Accurate Detection

In the digital realm, identifying the type of files we encounter is crucial for ensuring safety and security. However, with the increasing complexity and...

Meet PyRIT: A Python Risk Identification Tool for Generative AI to Empower Machine Learning Engineers

In today's rapidly evolving era of artificial intelligence, there's a concern surrounding the potential risks tied to generative models. These models, known as Large...

Meet AlphaMonarch-7B: One of the Best-Performing Non-Merge 7B Models on the Open LLM Leaderboard

Creating a model that excels at understanding, holding conversations, and solving complex problems has always been challenging in artificial intelligence. The goal is to...

Meet Magika: A Novel AI-Powered File Type Detection Tool that Relies on the Recent Advancements of Deep Learning to Provide Accurate Detection

In the digital world, identifying the type of files we encounter is crucial for various reasons, such as ensuring user safety and maintaining security....

Meet Feast (Feature Store): An Open-Source Feature Store for Machine Learning

Managing and serving features to real-time models in machine learning poses a significant challenge for ML platform teams. Consistent feature availability during both training...

Meet MiniCPM: An End-Side LLM with only 2.4B Parameters Excluding Embeddings

In the fast-evolving world of technology, language models play a crucial role in various applications, from answering questions to generating text. However, one challenge...