Your fully proficient, AI-powered and local chatbot assistant🤖
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Updated
Jun 12, 2024 - Python
Your fully proficient, AI-powered and local chatbot assistant🤖
Welcome to InterviewX, your ultimate interview companion powered by AI. With features like scam detection, resume optimization, real-time posture analysis, time-saving text summarization, and ice breaker insights, InterviewX equips you with everything you need to ace your next interview with confidence and ease.
Developed a Named Entity Recognition (NER) model with an integrated text summarizer to efficiently extract and summarize key information from unstructured text data.
This collection features a series of NLP projects, covering diverse aspects. Explore projects in text processing, sentiment analysis, entity resolution, and more.
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!
This repository contains the code and resources for an end-to-end Natural Language Processing (NLP) text summarizer. The project focuses on summarizing longer pieces of text, such as articles or documents, into shorter, more concise versions while preserving key information and meaning.
YouTube Video Transcript Summarizer with Gemini API
Developing Natural Language Processing tools to enhance Learning Analytics. Creating an automated dashboard that diagnoses strengths and weaknesses from educational data.
This repository explores the process of automatic text summarization using traditional methods and modern NLP models. It includes steps for text cleaning, word frequency analysis, and summarization, along with a comparison of summaries generated by different transformer models.
a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。
Summary Evaluation Tool
Transformer Balance Research
The LARGE LANGUAGE MODEL FOR HYDROGEN STORAGE project uses advanced natural language processing to improve research efficiency. It offers concise summaries and answers questions about hydrogen storage research papers, helping users quickly understand key insights and latest advancements.
Transformer Architectures Comparison in Natural Language Generation Tasks
Artificial Intelligence Laboratory (6th semester) course's project.
Text Summarization Modeling with three different Attention Types
🍶 llm-distillery ⇢ use LLMs to run map-reduce summarization tasks on large documents until a target token size is met.
Python scripts to use for captioning images with VLMs
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