Frontiers of Foundation Models for Time Series
Explore foundation models for time series data, addressing challenges in science applications and discussing future research directions in deep learning for time series analysis.
Foundational Models in Enterprise AI - Challenges and Opportunities
Explore the future of AI with foundation models, their enterprise applications, and challenges. Learn about Snorkel AI's approach to optimizing these models for cost, quality, and control.
Solving the Last Mile Problem of Foundation Models with Data-Centric AI
Explore data-centric AI techniques to enhance foundation models' accuracy for complex, high-value use cases. Learn to overcome hallucinations, biases, and misclassifications in real-world AI applications.
Deploying LLMs on Structured Data Tasks - Lessons from the Trenches
Explore NSQL, a new open-source foundation model for SQL generation. Learn about its advantages over existing models, including customization, quality, and privacy. Discover its data generation process, GPU training approach, and performance benefits.
Anatomy of a Software 3.0 Company - AI in Production Keynote
Explore the design space of AI-native applications and learn Conviction's framework for assessing value, defensibility, and strategy in Software 3.0 companies.
Azure ML: Foundation Models Inference Endpoint for Q&A
Explore Azure ML's Model Catalogue and create an Online Inference EndPoint for Foundation QA HuggingFace model predictions. Gain hands-on experience with Azure ML studio and machine learning deployment.
Fine-Tuning Foundation Models with Azure Machine Learning Studio
Fine-tune a BERT foundation model using Azure Machine Learning Studio for enhanced natural language processing capabilities.
Fine-Tuning Foundation Models for Document Classification with Azure ML - LLama2
Fine-tune LLM for document classification using Azure ML Studio's Python SDK. Learn to adapt Llama2, Mistral, or other models for text classification tasks.
Foundation Models for Enabling Rational Design of Biological Systems - Lecture 3
Explore foundation models for rational design of biological systems with Arvind Ramanathan, advancing understanding in computational biology and system engineering.
Trillion Parameter Foundation Models as Discovery Accelerators - Lecture 10
Explore how advanced AI and foundation models can accelerate scientific discovery, revolutionizing research infrastructure and collaboration.
Foundational Methods for Foundation Models in Scientific Machine Learning - Lecture 6
Explore foundational methods for scientific machine learning models, addressing challenges in integrating data-driven ML with domain-driven scientific computing methodologies.
Foundation Models for Materials Discovery
Explore foundation models for materials discovery, focusing on their applications and potential in advancing scientific research and innovation.
Foundation Models for a Sustainable Planet
Explore how foundation models can address sustainability challenges and drive positive environmental impact through AI-powered solutions.
Foundation Models and Fair Use - Legal and Ethical Implications
Explore legal and ethical implications of training foundation models on copyrighted material. Analyze fair use doctrine, potential risks, and technical mitigations for model development and deployment.
Enterprise Vector-based Information Retrieval and Prompt Engineering at Scale Using Open Source on AWS
Build enterprise-scale vector-based information retrieval systems using open source technologies on AWS, addressing challenges in Retrieval Augmented Generation for accurate, hallucination-free results.
Harnessing Proprietary Data in the Era of Generative AI - Insights from AWS
Explore AWS's mission to democratize machine learning, offering customization capabilities for proprietary data. Learn about security, data governance, and scalable GenAI development for startups building innovative AI solutions.
All AI Models Are Not Created Equal: and That's a Good Thing
Explore AI model diversity, ecosystem competition, and optimization strategies for effective implementation across projects. Learn to select models based on price, speed, and quality.
Introduction to DBRX and Shutterstock ImageAI Foundation Models
Explore Databricks' foundational models like DBRX, their capabilities, and applications. Learn to leverage these models for enhanced data analytics and machine learning projects across industries.
Building Your First GenAI App Using Databricks, MosaicML and MLRun
Learn to implement, scale, and manage GenAI applications using Databricks, MosaicAI, and MLRun. Explore MLOps best practices, CI/CD automation, and GPU optimization for enterprise-level AI deployment.
Building a State-of-the-Art Open-Source Model - DBRX Development Story
Discover the journey behind DBRX, Databricks' open-source foundation model. Learn tools, methods, and insights for building high-quality LLMs, with real-world examples and best practices from the development team.
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Explore HyenaDNA: a genomic foundation model using long-range context and single nucleotide resolution. Learn about its design, experiments, and state-of-the-art performance in genomic sequence modeling.