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Drishti

Drishti

Author: since 20 Jan, 2022 Article: 52 Claps: 11

I'm a Researcher who works primarily on various Acoustic DL, NLP, and RL tasks. Here, my writing predominantly revolves around topics related to Acoustic DL, NLP, and RL, as well as new emerging technologies. In addition to all of this, I also contribute to open-source projects @Hugging Face.
For work-related queries please contact: [email protected]

Writes on Python Python NLP Artificial Intelligence Audio Advanced Machine Learning Deep Learning Interview Prep Libraries Datasets Cloud Computing Data Engineering Data Science Guide BERT Data Exploration Database Interviews IOT Linear Regression Maths Reinforcement Learning Technology Videos Algorithm Audio Processing Autoencoder C++ Classification Computer Vision Image Analysis Interviews Learning Path Model Deployment Object Detection PyTorch Reinforcement Learning Structured Data Technique Text transformer package IntermediateBeginner More
  • Deep Learning Intermediate NLP

    Contextual Spelling Correction of the ASR Systems

    We will discuss the technique for contextual biasing, which entails adding a contextual spelling correction model on ASR system.

    Drishti 12 Oct, 2022
    Contextual Spelling Correction of the ASR Systems
  • Artificial Intelligence Database Intermediate Learning Path

    Hyperparameter Optimization Using OptFormer

    A text-based transformer hyperparameter optimization (HPO) framework called OptFormer that offers a unified end-to-end interface for learning.

    Drishti 05 Sep, 2022
    Hyperparameter Optimization Using OptFormer
  • Beginner Machine Learning Model Deployment

    Improving the Performance of Multi-lingual Translation Models

    In this article, you will understand how you can improve the performance of the multi-lingual translation models.

    Drishti 31 Aug, 2022
    Improving the Performance of Multi-lingual Translation Models
  • Algorithm Artificial Intelligence Beginner Machine Learning

    5 AI-Powered Startups Revolutionizing Fashion Industry

    In this article, you will learn how different AI-powered startups are causing a radical change in fashion industry.

    Drishti 28 Mar, 2025
    5 AI-Powered Startups Revolutionizing Fashion Industry
  • Advanced Artificial Intelligence NLP

    Reduce Retraining by Recycling Prompts

    GoogleAI researchers proposed several approaches to Recycling Prompts where prompt trained is transformed to work with a new target model.

    Drishti 02 Sep, 2022
    Reduce Retraining by Recycling Prompts
  • Audio Beginner NLP

    On-Device Personalization of ASR Models for Disordered Speech

    Google AI researchers have proposed on-device personalization of ASR models with a focus on acoustic adaptation.

    Drishti 16 Aug, 2022
    On-Device Personalization of ASR Models for Disordered Speech
  • Beginner Cloud Computing Machine Learning

    Applications of EdgeML

    In this article, you will learn some of the applications used in machine learning through EdgeML. Head on to read more!

    Drishti 08 Aug, 2022
    Applications of EdgeML
  • Beginner Deep Learning

    Do Tree-based Models Outperform Deep Learning Models on Tabular Data?

    In this blog post, we will look at the findings obtained from the experiments and the associated caveats using deep learning models.

    Drishti 06 Apr, 2023
    Do Tree-based Models Outperform Deep Learning Models on Tabular Data?
  • Deep Learning Intermediate Machine Learning Python Structured Data

    Scaling- Transformers, Laws and Challenges

    Scaling laws allow quantifying the “bigger is better” paradigm for language models by studying their behavior with varying dataset size

    Drishti 08 Aug, 2022
    Scaling- Transformers, Laws and Challenges
  • Computer Vision Intermediate Object Detection Python Python

    Light-weight Decoder-free Object Detection with Transformers

    The article shows how DFFT simplifies object detection to an encoder-only single-level anchor-based dense prediction framework.

    Drishti 19 Dec, 2023
    Light-weight Decoder-free Object Detection with Transformers

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