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:
- 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.
- Sumod Mohan, Founder and CEO at AutoInfer. Sumod curated Anthill Inside 2019 edition, held in Bangalore on 23 November.
Tracks and themes
- 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.
- 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.
- 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.
- Assess capabilities, determining the new frontiers for AI.
- Find a use for the application.
- 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:
- 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.
- Data scientists who want a deeper understanding of model deployment/governance.
- Architects who are building ML workflows that scale.
- Tech founders who are building products that require AI or ML.
- Product managers, who want to learn about the process of building AI/ML products.
- Directors, VPs and senior tech leadership who are building AI/ML teams.
Sponsorship
Sponsorship slots are open for:
- Infrastructure (GPU, CPU and cloud providers) and developer productivity tool makers who want to evangelise their offering to developers and decision-makers.
- Companies seeking tech branding among AI and ML developers.
- 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
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Supported by
India’s Top Advanced Cloud GPU Provider. H100, A100, L4, A40,& A30 Sign up here: https://bit.ly/vc_desk more
S
Sai
Representation and Reasoning on dynamically composed multimodal structures
Submitted Jun 20, 2023
Agenda:
1, A deep understanding of Multimodality as a phenomenon
2. The gist of the Axiomatic treatment of multimodality - covering challenges pertaining to Representation, Alignment, Reasoning, Generation, Transference and Quantification
3. The heart of Graph Neural Network Modeling frameworks including GCNs, Graph Attention and their capacity to model Heterogeneity and spatio-temporality
4. How does a graph generation process coupled with a Language model based reasoning provides useful insights by reducing the complex multimodality challenges of multimodality.
5. Examples pertaining to a monologue product review, a conversational dialogue and a discussion in a group setting would be used to convey the trials, successes, challenges and failures in the modeling effort.
Screenplay :
This talk would be at the focal intersection of Graph Neural Nets, Graph Embeddings, Large Language models and Causal Reasoning. We would start with a fascinating tour of McGurk effect, the concept of intermodal perception, Inter-sensory redundancy and express the challenges plus the state of the art in multimodality treatment. We would convincingly establish heterogeneity and interconnectedness as the seminal principles of interest. Serially, we would also expound on the intuition behind graph neural nets and the power and expressivity of graph embeddings through the GCNs, GAT and Spatio-temporal graphs. Some sound literature works starting from Dan Jurafsky)2012), Peter V, Jure Leskovic, up and until L P Morency (2022) would be covered summarily. Once convinced that, Heterogeneity and interconnectedness are inherent and cardinal both in multimodal and Graphical worlds (GNN based frameworks and embeddings), we would delve into the world of LLMs. The specific simplification offered by Large Language Models on the multi-modally composed input would be described with examples, successes, failures and challenges.
Takeaways:
Takeaways for beginners – Since we broach multiple vast areas like Graph Nets, Reasoning with LLMs and Multimodality, the beginners could be initiated on one or more of them.
Takeaways for Intermediate – Deep intuitive understanding of multimodality and Graph Nets. For example, in the world of Graph Neural nets, Aggregation schemes and embeddings are not so intuitive even for the initiated.
Takeaways for the advanced – An alternate view on how to compose multimodal information using Graphs and the usage of LLMs for some smart simplifications.
Comments
Hosted by
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
Supported by
India’s Top Advanced Cloud GPU Provider. H100, A100, L4, A40,& A30 Sign up here: https://bit.ly/vc_desk more
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