Expert Machine Learning Specialist

  • Status: Closed
  • Prize: $1001
  • Entries Received: 3
  • Winner: rohanefs2306

Contest Brief

We are in need of an accomplished Machine Learning expert to develop a sophisticated Language Learning Model (LLM) with the capacity to fully comprehend human input and generate contextually accurate and meaningful output.

YOUR TASK TO WIN!
Participants are required to fine-tune a pre-trained LLM (e.g., GPT-3, Claude) using a custom dataset that they curate or generate. The LLM should be trained to:

1. Understand and interpret user queries or prompts in a conversational context.
2. Generate human-like responses that are contextually relevant and coherent.

DATASETS
Participants are not provided with a specific dataset. They are encouraged to use publicly available datasets or generate synthetic data to train and fine-tune their models.

EVALUATION
Participants will be evaluated based on the performance of their models in understanding human input and generating appropriate responses. Evaluation metrics can include relevance, coherence, and potentially user satisfaction through crowdsourced assessments.

ADDITIONAL POINTS AWARDED
To make the competition more engaging and challenging, consider incorporating the following elements:
• Multimodal Inputs: Participants can explore incorporating additional modalities, such as images or audio, to enhance the understanding of human input.
• Ethical Considerations: Participants should address ethical considerations, such as bias mitigation and fairness, in their models.

WINNER
Competition winner will receive upto $1000 and a chance to work on a similar project on a contract hire basis which can turn into full time position.

Recommended Skills

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Public Clarification Board

  • programmer0050
    programmer0050
    • 1 month ago

    Hello sir, iam an expert programmer, i completely understand your requirements and i will surely create the best pretrained fine-tuned LLM with custom dataset that will generate contextually accurate and meaningful output and will provide you full support from my side. Please contact me for further discussion.

    • 1 month ago
  • latheeshvmvilla
    latheeshvmvilla
    • 1 month ago

    So fake contest?

    • 1 month ago
  • Jerome369
    Jerome369
    • 1 month ago

    is the contest over

    • 1 month ago
  • Muzafarbaloch
    Muzafarbaloch
    • 1 month ago

    Sir I can Complete This Task On Being Awarded. #31
    Let me share the task completion process in steps: The very first step is Dataset Curation or Generation based on our preferences or as guided by you.

    The second step is Pre-processing & in easy words we can say data formatting such as such as tokenization and cleaning.

    Third step includes Fine-tuning. In order to setup fine-tuning we have to select a framework either Hugging Face's Transformers library or OpenAI's API. As well as to choose an environment for it like local machine or cloud platform.

    On Fourth stage we have Fine-tune LLM that includes data feeding to the model. After that we have to evaluate that Fine-Tuned Model & in the last we have to iterate on the fine-tuning process based on evaluation results.

    Sir I can Complete your task cause I am having an expertise on these tasks. Kindly award me this contest to start our work soon. Thanks Less

    • 1 month ago
  • sharhakimali
    sharhakimali
    • 1 month ago

    This is sample contact me i will provide fine-tune a pre-trained LLM

    • 1 month ago
  • sharhakimali
    sharhakimali
    • 1 month ago

    I am Expert Machine Learning Specialist you can feel free to use ⭐chat option⭐ and I`d appreciate it to hear from you. I am waiting your response. Thanks :) #1

    • 1 month ago
  • kaliansh
    kaliansh
    • 1 month ago

    I read the description and found it quite short . Please share more detail on this event. Like what specific you want a model to act like else please initiate a chat window so that i'll atleast take regular feedback and find the best possible finetune. Most of the time it's going to create the data

    • 1 month ago

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