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Goutham Vignesh@gouthamvicky26

100/200

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Profile rank: lablab No-rank

Next rank: lablab Apprentice

9

Events attended

2

Submissions made

AI Research Engineer

India

2 years of experience

About me

Hello, I'm Goutham Vignesh, an AI Research Engineer at Scispace. With a passion for cutting-edge technology, I specialize in training and deploying machine learning models, mainly focused on fine-tuning LLM models for different business problems. Through my expertise, I strive to leverage the power of artificial intelligence to drive innovation and solve complex challenges. With a strong background in AI research and engineering, I am dedicated to pushing the boundaries of what is possible in machine learning. Skills - Python, Pytorch, Torch serve, Fast API, Docker, MongoDB

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πŸ€“ Submissions

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    Hackathon link

    Prompt Tune Generation

    Prompt Tune Generation is a prototype model which has ability to generate music using Cohere prompt by understanding the user input. Using Prompt Tune user can play with different set of Genre as input prompt to the model which will generate music notes followed by a short music clip tuned using custom virtual Keyboard which has single octave. This is one step closer diffusion based model where Generative AI plays a vital role in generating contents on its own.

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    Hackathon link

    Congruity - Trustworthy AI

    Congruity.AI provides a diverse set of tools and options for business users and consumers alike to interrogate the consistency of content provided by large language models. It does this by first returning a varied sample of responses, utilizing different API parameters as well as prompt variation. We then ingest and analyze the results to present visualizations and other tools for users to investigate the quality and consistency of generated text. These approaches include an ngram census (portrayed on the text), similarity matrices (showing how similar responses are to one another), links to external sources for verification, and a comparison to constitutional rules or values for the language model. Using these complementary tools, users can drill down to identify elements of generated text that are consistent with the facts, with one another, and with corporate or personal values.

πŸ‘Œ Attended Hackathons

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    Generative AI Hackathon

    πŸ—“οΈ This will be a 48-Hour Virtual Hackathon from 2 - 4 December πŸ’» Technology: You will build applications with generative AI supplied by Cohere βœ”οΈ Level: All levels are welcome 😊 For whom?: Builders, creators & innovators! πŸ’² The Event is totally free! πŸ† $2000 cash prize pool!

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    OpenAI Whisper, GPT3, Codex & DALL-E 2 Hackathon

    πŸ—“οΈ This will be a 7-days of hacking and fun from 9-16 December πŸ’» Build with the latest AI tools from OpenAI to create innovative new apps πŸ’‘ Work with top AI professionals and learn from them βš’οΈ Create your AI app by combining GPT-3, Codex, Dalle-2, and Whisper πŸ±β€πŸ’» Register now and let's get started!

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    Semantic Search AI Hackathon

    πŸ—“οΈ This will be a 7-day virtual hackathon from 16-23 December πŸ’» Build AI application with the latest large language model-powered technology by Cohere πŸ’‘ Get the chance to work with the best AI professionals in the industry and learn from them βœ”οΈEntry level = 0. You’ve just started with AI? Are you an experienced Data Scientist? Or maybe you are a Designer or Business Developer? Join us! We need your domain knowledge! πŸ±β€πŸ’» Register now and let's get started! It’s free!

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