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.

DuckDB: An Analytical in-Process SQL Database Management System DBMS

DuckDB is a high-performance analytical database system designed to excel in various data-intensive tasks. Focused on its speed, reliability, portability, and user-friendliness, DuckDB offers...

Aider: An AI Tool that Lets You Do Pair Programming in Your Terminal

Modern software development often involves managing extensive codebases, ensuring code accuracy, maintaining comprehensive documentation, and optimizing performance. These tasks are inherently complex, demanding significant...

Inspectus: An Open-Sourced Large Language Model LLM Attention Visualization Library

In large language models, understanding how they work and what they pay attention to is crucial for improving their performance. However, analyzing the attention...

Omost: An AI Project that Transfors LLM Coding Capabilities into Image Composition

Omost is an innovative project designed to enhance the image generation capabilities of large language models (LLMs) by converting their coding proficiency into advanced...

Micro Agent: An AI Agent that Writes and Fixes Code for You

Developers frequently encounter the issue of AI-generated code not working as expected. AI language models can produce code snippets, but these often require multiple...

Meet Mesop: A Python-based UI Framework that Allows You to Build Web Apps like Demos and Internal AI/ Machine Learning Apps

Building web applications can be challenging, especially for users unfamiliar with JavaScript, CSS, or HTML. It's difficult to quickly create functional and visually appealing...

Knock Knock: A New Python Library to Get a Notification when Your Training is Complete with just Two Additional Lines of Code

Training deep learning DL models is time-consuming and unpredictable. It is often hard to know precisely when a model will finish training or if...

LlamaParse: An API by LlamaIndex to Efficiently Parse and Represent Files for Efficient Retrieval and Context Augmentation Using LlamaIndex Frameworks

Handling and retrieving information from various file types can be challenging. People often struggle with extracting content from PDFs and spreadsheets, especially when dealing...

‘RAG Me Up’: A Generic AI Framework (Server + UIs) that Enables You to Do RAG on Your Own Dataset Easily

Managing and extracting useful information from diverse and extensive documents is a significant challenge in data processing and artificial intelligence. Many organizations find it...

Dir-Assistant: Simplifying File Management with Local and API Language Models

Managing files and directories efficiently can be challenging, especially when dealing with large structures. Navigating numerous files to find relevant information often consumes much...

Mistral-finetune: A Light-Weight Codebase that Enables Memory-Efficient and Performant Finetuning of Mistral’s Models

Many developers and researchers working with large language models face the challenge of fine-tuning the models efficiently and effectively. Fine-tuning is essential for adapting...

Cognita: An Open Source Framework for Building Modular RAG Applications

Managing and deploying Retrieval-Augmented Generation (RAG) systems has recently become a significant challenge, especially when moving from experimental setups to production environments. While tools...

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