The Fifth Elephant For members

The Fifth Elephant 2023 Monsoon

On AI, industrial applications of ML, and MLOps

Make a submission

Accepting submissions till 04 Jul 2023, 12:30 PM

Bangalore International Centre (BIC), Bengaluru

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The Fifth Elephant 2023 Monsoon Edition event recap is now up here . The event was attended by 192 participants, of which one-fourth were women. The Fifth Elephant videos are available to watch here

Event highlights:




Editors

The 2023 Monsoon edition is curated by:

  1. Nischal HP, Vice President of Data Engineering and Data Science at Scoutbee. Nischal curated the MLOps conference which was held online between 23 and 27 July 2021.
  2. Sumod Mohan, Founder and CEO at AutoInfer. Sumod curated Anthill Inside 2019 edition, held in Bangalore on 23 November.

Tracks and themes

  1. AI and Research - covers research, findings, and solutions for challenges on building models in various areas such as fraud detection, forecasting, and analytics. This track delves into the latest methodologies for handling challenges such as large-scale data processing, distributed computing, and optimizing model performance.
  2. Industrial applications of ML - covers implementation of AI in the industry, with more focus on the AI models, the issues in training, gathering data so, and so forth. ML is being used at scale in industries such as automotive, mechanical, manufacturing, agriculture, and such domains. This track focuses on the challenges in this space, as we see innovation coming out of these industries in the pursuit of using ML on a second-to-second basis.
  3. AI and Product - covers strategies for building AI products to scale and mitigating challenges. This track provides insights on incorporating AI tools and forecasting techniques to improve model training, developing a working model architecture, and using data in the business context.

There are three phases in the lifecycle of an application - research, application and aftermath of the application.

  1. Assess capabilities, determining the new frontiers for AI.
  2. Find a use for the application.
  3. Learn how to run it, monitor it and update it with time.

The three tracks at the 2023 Monsoon edition of The Fifth Elephant will cover this lifecycle.

Members-only conference

The Fifth Elephant 2023 Monsoon edition will be held in-person. Attendance is open to The Fifth Elephant members only. Pick a membership to attend the in-person conference. If you have questions about participation, post a comment here.

Who will benefit from participating in The Fifth Elephant community:

  1. Data/MLOps engineers who want to learn about state-of-the-art tools and techniques, especially from domains such as automobile, agri-tech and mechanical industries.
  2. Data scientists who want a deeper understanding of model deployment/governance.
  3. Architects who are building ML workflows that scale.
  4. Tech founders who are building products that require AI or ML.
  5. Product managers, who want to learn about the process of building AI/ML products.
  6. Directors, VPs and senior tech leadership who are building AI/ML teams.

Sponsorship

Sponsorship slots are open for:

  1. Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
  2. Companies seeking tech branding among AI and ML developers.
  3. Venture Capital (VC) firms and investors who want to scan the landscape of innovations and innovators in AI and who want to source leads for investment in the AI and ML space.

Contact information

Join the @fifthel Telegram group or follow @fifthel on Twitter. For any inquiries, call Hasgeek at +91 7676 33 2020.

Hosted by

All about data science and machine learning

Supported by

E2E Cloud is India's first AI hyper scaler, a cloud computing platform providing accelerated cloud-based solutions at maximum optimization and lowest pricing

Samik Raychaudhuri

@samikr

Shub Jain

@shubjain

Tuning a base language model for multi-tasking

Submitted Jun 30, 2023

Abstract

Auquan is an AI startup that serves institutional investors and investment managers with curated news and documents to help them make better investment decisions.

In this presentation, I will discuss our approach for tuning a base language model for multiple tasks, such as determining noise in streaming news feeds, determining relevance, matching news to topics, and curating relevant documents.

I will walk through the process and pitfalls for tuning the language model for a general use case, including the process and metric for determining performance of the tuned model.

Audience

ML Engineers, early stage Data Scientists

Takeaways

  • How to tune a base language model for multiple tasks
  • Existing libraries for tuning language models
  • Best practices and pitfalls for tuning language models

Presentation Outline

  • Introduction
    • About Auquan and our use case
    • Problem description
  • Language models for multi-tasking
    • How we use language models
    • Tuning an LM
  • Using tuned models for embedding
  • Best practices and pitfalls
  • Conclusion/QA

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Make a submission

Accepting submissions till 04 Jul 2023, 12:30 PM

Bangalore International Centre (BIC), Bengaluru

Hosted by

All about data science and machine learning

Supported by

E2E Cloud is India's first AI hyper scaler, a cloud computing platform providing accelerated cloud-based solutions at maximum optimization and lowest pricing