DeveloperWeek 2025: Full Schedule

3:00pm PST

PRO WORKSHOP (AI DevWorld): Mastering TensorFlow, PyTorch, and Open-Source Frameworks for AI and Machine Learning

Tuesday February 11, 2025 3:00pm - 3:50pm PST

Prashanth Lakshmi Narayana Chaitanya Josyula, Salesforce, Principal Member of Technical Staff (PMTS)
Taha Bouhsine, MLNomads, CEO

In this comprehensive technical session, dive deep into the world of TensorFlow, PyTorch, and other cutting-edge open-source frameworks that are transforming the landscape of Artificial Intelligence (AI) and Machine Learning (ML).

We will explore the strengths and unique features of these popular frameworks, providing a hands-on comparison to help you understand which one best suits various AI/ML tasks. Whether you are building neural networks, implementing deep learning models, or deploying large-scale machine learning solutions, this session will equip you with the knowledge and skills to make informed decisions about the right tools for your projects.

Speakers

Prashanth Lakshmi Narayana Chaitanya Josyula

Principal Member of Technical Staff (PMTS), Salesforce

Hello! I’m Prashanth, an avid connoisseur of technical literature and a dedicated practitioner in the field of programming. With a deep-seated passion for technology, I excel in crafting sophisticated code and exploring cutting-edge innovations.Currently serving as a Principal Member... Read More →

Taha Bouhsine

CEO, MLNomads

Taha Bouhsine is an AI/ML Google Developer Expert specializing in Deep Learning, with a focus on white-box models, multimodal systems, and self-supervised learning. He has published research in aviation safety, civil engineering, security, and remote sensing, collaborating with global... Read More →

Tuesday February 11, 2025 3:00pm - 3:50pm PST
AI DevWorld Stage 1

AI DevWorld

Session Type PRO Workshop Day (Tues)
Conferences AI DevWorld, AI DevWorld: AI/ML Engineering Conference, Tensorflow & PyTorch & Open Source Frameworks (AI DevWorld), MLOps & AIOps (AI DevWorld)
In-Person/Virtual In Person

11:00am PST

PRO Session: Reproducible AI with Langchain and lakeFS

Thursday February 13, 2025 11:00am - 11:25am PST

AI DevWorld Main Stage

Oz Katz, Treeverse, CTO & Co-Founder

Langchain has become one of the most popular frameworks for anyone building custom, generative AI-driven apps powered by LLMs, that leverage RAG for the most enhanced results. But like all data products, these applications are really only as good as the org data fed into them.

In this live session you’ll learn how to build a reproducible AI app pipeline with Langchain & lakeFS, including how to build a RAG chatbot, while iteratively tuning it for best results leveraging Delta Lake’s temporal versions, you’ll come away with improved methods for data reproducibility for custom AI apps.

Speakers

Oz Katz

CTO & Co-Founder, Treeverse

Oz Katz is the CTO and Co-Creator of the open source lakeFS Project, an open source platform that delivers resilience and manageability to object-storage based data lakes. Oz engineered and maintained petabyte-scale data infrastructure at analytics giant SmilarWeb, which he joined... Read More →

Thursday February 13, 2025 11:00am - 11:25am PST
AI DevWorld Main Stage

AI DevWorld

Session Type PRO Session
Conferences AI DevWorld, AI DevWorld: Industry AI Conference, AI for the Enterprise (AI DevWorld), AI DevWorld: AI/ML Engineering Conference, MLOps & AIOps (AI DevWorld)
In-Person/Virtual In Person

3:00pm PST

PRO Session: Embeddings: Core Concepts for Developers

Thursday February 13, 2025 3:00pm - 3:25pm PST

AI DevWorld Main Stage

Jocelyn Matthews, Pinecone, DevRel, Head of Community

If you had a collection of every kind of animal on earth, from mules to narwhals to goldfish, how would we pick out just the animals that are housepets? And how does AI distinguish between a pack mule and a Moscow Mule?

Embeddings are numerical representations that capture the essential features and relationships of discrete objects, like words or images, in a continuous vector space, enabling tasks such as semantic search, clustering, and recommendations.

This is a dense but entertaining talk about the core concepts of embeddings, ranging from multidimensional vector space to the ever-familiar box of crayons we used as kids. The presentation will cover fundamental concepts, including how embeddings represent various data types, the importance of context sensitivity, and between dimensionality.

The talk introduces specialized terms and breaks them down into simple, everyday examples to help learners relate difficult concepts to familiar things. Then, we build back up to the specialized terms to deepen understanding.

Attendees will gain a clear understanding of how embeddings work, their benefits, and why they are leveraged in machine learning tasks

Speakers

Jocelyn Matthews

DevRel, Head of Community, Pinecone

Jocelyn Matthews works at Pinecone, where she is responsible for building and nurturing the technical community. Her focus is to grow a vibrant ecosystem to which everyone brings their best selves. Jocelyn is a former Rosberg-Geist Fellow at the Center for African Studies at UC Berkeley... Read More →

Thursday February 13, 2025 3:00pm - 3:25pm PST
AI DevWorld Main Stage

AI DevWorld

Session Type PRO Session
Conferences AI DevWorld, AI DevWorld: Industry AI Conference, AI for the Enterprise (AI DevWorld), AI DevWorld: AI/ML Engineering Conference, MLOps & AIOps (AI DevWorld)
In-Person/Virtual In Person

2:00pm PST

[Virtual Exclusive] PRO WORKSHOP (AI DevWorld): Running Billion-Scale Similarity Search at LLM Production Systems

Tuesday February 18, 2025 2:00pm - 2:50pm PST

VIRTUAL AI DevWorld Main Stage

Ohad Levi, Hyperspace, Founder and CEO

Search databases are integral to information retrieval and facilitation of similarity-based content discovery, playing a pivotal role in generative AI tech stack. Within this framework, the synergy of lexical and vector search algorithms enables the combination of structured and unstructured data, optimizing the precision, diversity and efficiency of LLM and RAG systems.

As a result, the demand for powerful search infrastructure is higher than ever: organization data is growing exponentially, while millions to billions of documents are becoming standard and the search queries become more resource-intensive, presenting significant performance, scalability and cost challenges at production-grade systems.

In this session we will explore various techniques to address those challenges, from space reduction to approximation methods as well as a range of acceleration technologies, which are highly parallelizable and designed for large scale real-time production systems. Transitioning from lab to production is not always seamless and contributing to the failure of numerous AI projects, the session target is to provide insights and solutions directly impacting the efficiency and success of future Gen AI applications.

Speakers