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ManasB17/README.md

Hey there👋, Nice seeing you!
GitHub followers GitHub watchers

✨Here is a little about me!

I'm Manas Bhattarai!
Machine Learning Engineer 🧑‍💻 with 1 year of experience.

I have worked on 👨‍💻:

  • Resaerch of various open-source foundational model to check feasibility for different downstream tasks.
  • Research of training process which are efficient and with low computation cost.
  • Further investigate on pre-training and fine-tuning techniques like DAPT(Domain Adaptive Pre-Trainig) and PEFT(Parameter Efficient Fine-Tuning) as a follow through of previous research.
  • Research on Reinforcement Learning from human Feedback(RLHF).
  • Research on popular Opensource LLM dataset to understand the structure and how can it be created
  • Machine Experiment of techniques like DAPT and PEFT to draw conclusions.
  • Performed Prompt Engineering Techniques for better content generation.
  • Performed RAG to generate more accurate results.
  • Research various benchmarks to perform evaluation.

💻Currently: I am learning

  • Deep Reinforcement Learning
  • Reinforcement Learning from human Feedback(RLHF)
  • Retrival Augment Generation in LLMs
  • Handling Large context in LLMs
  • Prompt Engineering.

I try to update myself with latest advancement in the field of AI. Currently I am following advancement in Large Language Models(LLMs) through various research papers and newsletters.


- 🔭 Currently Working on

  • Researching on How to optimize LLMs knowledge generation.
  • Researching on How to improve Multilingual Capability in LLMs.
  • Researching on handling context lengths in an LLM.

📫 How to reach me:


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  1. Reinforcement-Learning Reinforcement-Learning Public

  2. resume-parser resume-parser Public

    Jupyter Notebook

  3. Face-Recognition Face-Recognition Public

    Python