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HEY, I'm Rakshit Khajuria

Aspiring Data Scientist from India

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Blog Post Description
Detecting and Evaluating Sycophancy Bias: An Analysis of LLM and AI Solutions In this blog post, we discuss the pervasive issue of sycophantic AI behavior and the challenges it presents in the world of artificial intelligence. We explore how language models sometimes prioritize agreement over authenticity, hindering meaningful and unbiased conversations. Furthermore, we unveil a potential game-changing solution to this problem, synthetic data, which promises to revolutionize the way AI companions engage in discussions, making them more reliable and accurate across various real-world conditions.
Evaluating Large Language Models on Gender-Occupational Stereotypes Using the Wino Bias Test In this blog post, we dive into testing the WinoBias dataset on LLMs, examining language models’ handling of gender and occupational roles, evaluation metrics, and the wider implications. Let’s explore the evaluation of language models with LangTest on the WinoBias dataset and confront the challenges of addressing bias in AI.
Going Beyond Limits: Discovering the Secrets of Recurrent Neural Networks (RNNs) In this blog post, we discuss about how RNNs work, and see if we can write some code to create our own.
Contributing to LangTest : Building Safe & Effective Language Models πŸ”₯ In this blog post, we discuss about how to make valid contributions to the LangTest library.

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aws azure c cplusplus css3 django docker flask gcp git hadoop heroku html5 mongodb mysql python pytorch scikit_learn selenium tensorflow


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Public repo for HF blog posts

chainlit-food-chatbot-gpt icon chainlit-food-chatbot-gpt

This is a demonstration bot designed for an online food ordering enterprise. The development of this prototype was facilitated by Chainlit, a framework akin to Streamlit specifically tailored for LLM application development.

covid-19-india-data-analysis icon covid-19-india-data-analysis

On January 30, India reported its first case of COVID-19 in Kerala, which rose to three cases by February 3; all were students who had returned from Wuhan, China.No significant rise in cases was seen in the rest of February. On 22 March 2020, India observed a 14-hour voluntary public curfew at the instance of the prime minister Narendra Modi.The government followed it up with lockdowns in 75 districts where COVID cases had occurred as well as all major cities.Further, on 24 March, the prime minister ordered a nationwide lockdown for 21 days, affecting the entire 1.3 billion population of India. The transmission escalated during March, after several cases were reported all over the country, most of which were linked to people with a travel history to affected countries. On 12 March, a 76-year-old man who had returned from Saudi Arabia became the first victim of the virus in the country.On 4 March, 22 new cases came to light, including those of an Italian tourist group with 14 infected members.But number of cases start increasing dramtically after 19th March, but in the month of April it has been its peak. Experts suggest the number of infections could be much higher as India's testing rates are among the lowest in the world.The infection rate of COVID-19 in India is reported to be 1.7, significantly lower than in the worst affected countries.

ice-breaker icon ice-breaker

This is a web applicaiton crawling Linkedin & Twitter data about a person an customize an ice breaker with them.

job-recomendation icon job-recomendation

This app is designed to assist applicants in searching for potential jobs and to help recruiters find talented candidates.

langchain icon langchain

⚑ Building applications with LLMs through composability ⚑

langtest icon langtest

Deliver safe & effective language models

movie-recomendation icon movie-recomendation

Hello everyone, I've made a simple Movie Recommendation program using the Movie Lens Dataset.

mydevportfolio icon mydevportfolio

A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass

pandas icon pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

suicide-predictor- icon suicide-predictor-

A simple Machine Learning model converted into a WebApp which uses YEAR as a input and gives you the total number of suicides that happened or will be happening in that year.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

transformers icon transformers

πŸ€— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

willdev12 icon willdev12

A cool looking profile readme template. Feel free to fork and customize!

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