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.

LAION Presents BUD-E: An Open-Source Voice Assistant that Runs on a Gaming Laptop with Low Latency without Requiring an Internet Connection

In the fast-paced world of technology, where innovation often outpaces human interaction, LAION and its collaborators at the ELLIS Institute Tübingen, Collabora, and the...

Meet Functionary: A Language Model that can Interpret and Execute Functions/Plugins

MeetKai has been a notable player in the dynamic field of conversational AI since its establishment in 2018. Originally known as a "Conversational Intelligence...

Meet MFLES: A Python Library Designed to Enhance Forecasting Accuracy in the Face of Multiple Seasonality Challenges

One of the main hurdles in achieving high forecast accuracy is dealing with data with multiple seasonality patterns. This means that the data might...

Meet Lumos: A RAG LLM Co-Pilot for Browsing the Web, Powered by Local LLMs

The vast amount of online information makes it difficult for individuals to find, read, and understand the information they need efficiently. There have been attempts...

Meet UniDep: A Tool that Streamlines Python Project Dependency Management by Unifying Conda and Pip Packages in a Single System

Handling dependencies in Python projects can often become daunting, especially when dealing with a mix of Python and non-Python packages. The constant juggling between...

Meet RAGatouille: A Machine Learning Library to Train and Use SOTA Retrieval Model, ColBERT, in Just a Few Lines of Code

Creating effective pipelines, especially using RAG (Retrieval-Augmented Generation), can be quite challenging in information retrieval. These pipelines involve various components, and choosing the right...

Meet Yi: The Next Generation of Open-Source and Bilingual Large Language Models

The demand for intelligent and efficient digital assistants proliferates in the modern digital age. These assistants are vital for numerous tasks, including communication, learning,...

Meet Dify.AI: An LLM Application Development Platform that Integrates BaaS and LLMOps

In the world of advanced AI, a common challenge developers face is the security and privacy of data, especially when using external services. Many...

Meet Taipy: An Open-Source Python Library Designed for Data Scientists and Machine Learning Engineers for Easy and End-to-End Application Development

Data scientists and ML engineers often need help to build full-stack applications. These professionals typically have a firm grasp of data and AI algorithms....

Meet LangGraph: An AI Library for Building Stateful, Multi-Actor Applications with LLMs Built on Top of LangChain

There is a need to build systems that can respond to user inputs, remember past interactions, and make decisions based on that history. This...

Meet PriomptiPy: A Python Library to Budget Tokens and Dynamically Render Prompts for LLMs

In a significant stride towards advancing Python-based conversational AI development, the Quarkle development team recently unveiled "PriomptiPy," a Python implementation of Cursor's innovative Priompt...

Meet RAGxplorer: An interactive AI Tool to Support the Building of Retrieval Augmented Generation (RAG) Applications by Visualizing Document Chunks and the Queries in...

Understanding how well they comprehend and organize information is crucial in advanced language models. A common challenge arises in visualizing the intricate relationships between...

🐝 FREE Email Course: Mastering AI's Future with Retrieval Augmented Generation RAG...

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