The Fifth Elephant 2023 Winter
The Fifth Elephant For members

The Fifth Elephant 2023 Winter

On the engineering and business implications of AI & ML

Make a submission

Accepting submissions till 15 Nov 2023, 11:59 PM

Bangalore International Centre (BIC), Bengaluru

Tickets

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The Fifth Elephant Winter Edition videos are available to watch here

Event highlights:




  ⁠

Why Large Language Models are important in AI

In 2020, OpenAI released a Large Language Model (LLM) called GPT3 which has a billion parameters. With a minimal and intuitive user interface which was released to go with GPT3, it caught the imagination and attention of AI communities and researchers all over the world.
One by one, the domain use cases such as co-pilots for coding, creative AI, and other downstream tasks were shown to be fast-tracked by GenerativeAI models and LLMs. As such, there is a wide-ranging interest in large language models and applications around them for various domains and use cases in the AI space. Experiments which aim to find optimal hyperparameters, and those dealing with underfitting and overfitting models are being carried out regularly; more and more barriers are being broken down every day.

The Fifth Elephant 2023 Winter edition will cover topics on the research, engineering, and business aspects of AI, exploring the practical implementation and economic implications of these systems.

Themes

The winter edition of The Fifth Elephant will showcase talks, discussions and demos across generative and multimodal AI, and other classic AI/ML/DL applications on the below themes.

AI engineering Track

Share approaches and case studies covering the following use cases:

  • Products and platforms using LLMs, GenerativeAI, ML, and Deep Learning techniques, and business formulation around AI engineering.
  • Conversational AI and search, automatic speech recognition, healthcare, e-commerce, fintech, media and OTT, and other verticals.
  • Multilingual needs in India in digital products/platforms - features discussions, models training, finetuning, RLHF, RAGs, quantization techniques, dataset curation and augmentations, challenges faced in pipelines, evaluation metrics, future roadmaps, applications such as multilingual voice bots using ASR/STT, text to speech for accessibility.

Data Science operations track

Share case studies and experiential talks on handling the operations for data science such as scaling challenges and fine-tuning challenges, and lessons learned, and best practices for incorporating ethics, safety, and bias.

Demo track

Show demos on features/products which leverage AI and LLM-based APIs and models. It can be from creative AI, generative AI space, and various verticals with relevant use cases.

The Fifth Elephant membership

The December edition will be held in-person. Attendance is open to The Fifth Elephant members only. Pick a membership to attend the in-person conference, and to support The Fifth Elephant’s community activities.

Who will benefit from participating in The Fifth Elephant community:

  1. AI/ML/Data Science Ops engineers who want to learn about state-of-the-art tools and techniques, especially from domains such as health care, e-commerce, automobile, agri-tech and industrial verticals
  2. Data scientists who want a deeper understanding of model deployment/governance.
  3. Architects who are building ML workflows that scale.
  4. Tech founders and CTOs who are building products and platforms that leverage AI, ML and LLMs
  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 who want to do 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.
    If you are interested in sponsoring The Fifth Elephant, email sales@hasgeek.com.

Contact information

Join The Fifth Elephant Telegram group on https://t.me/fifthel or WhatsApp group. Follow @fifthel on Twitter.
For inquiries, call The Fifth Elephant on +91-7676332020 or leave a comment here.

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All about data science and machine learning

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Sponsor

Providing all founders, at any stage, with free resources to build a successful startup.

Daood Shaheer

@daood

How many ads are too many? Enhancing ad serving to reduce campaign delivery variances

Submitted Sep 29, 2023

Abstract

Ad serving refers to process of delivering online advertisements to users on a digital platform. It constitutes a crucial element in ad campaign management, as advertisers and platforms establish agreements regarding pricing and campaign behaviour. Consequently, optimizing under and over-delivery of ad impressions emerges as a critical concern for seamless and efficient delivery. Impression capping is a targeting option that limits how many times a user encounters a particular ad in each time frame. Conventional ad delivery systems only manage to achieve basic frequency capping (It is be defined as rendering only required number of impressions for the given duration of the campaign) wherein the impressions will always be lower than frequency cap but will not achieve the correct requirement of delivering the ‘X’ number of impressions. This leads to an inefficiency in the system wherein ad serving is unnecessarily trying to reach a wide audience of users whereas it did not need to do that.
Therefore, idea is to have models which accurately predict the number of impressions a user will view in each hour. Predicting user consumption patterns over time and directing campaigns towards user cohorts based on their consumption behaviours, it becomes possible to align with specific delivery objectives (Number of ad impressions, clicks, etc delivered over the entire campaign duration) which helps in reducing delivery variances.

Talk Outline

  • What is Impression capping, pacing, and what are the business impacts of the limitations of the current serving system?
  • What is forecasting, and how does a forecasting-driven model solve for the impression capping problem?
  • Solution Design
    • Why forecasting? Walkthrough of feature processing on user content consumption data
    • Analysing seasonality and trends in user consumption patterns
    • Navigating the aggregation problem: Signals aggregation and making predictions on user cohorts rather than of user-level prediction
    • What is Prophet, and what advantages does it offer over other forecasting models?
    • Walkthrough of how hourly and cohort-based predictions are utilised in the serving process
  • Offline and online evaluation strategies
  • Assessing the impact and summarizing the key takeaways

Speaker

Daood Shaheer, Data Scientist (Glance)

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Make a submission

Accepting submissions till 15 Nov 2023, 11:59 PM

Bangalore International Centre (BIC), Bengaluru

Hosted by

All about data science and machine learning

Supported by

Sponsor

Providing all founders, at any stage, with free resources to build a successful startup.