Training Foundation Model Workloads on Kubernetes at Scale with MCAD
Explore how IBM's Vela supercomputer uses MCAD to queue custom resources for large-scale AI training on Kubernetes, enabling flexible frameworks and fault tolerance across hundreds of GPUs.
AI News: Open Source Advancements and Recent Developments
Explore latest AI advancements: new models, papers, and tools. Learn about HyperAttention, MemGPT, Self-RAG, PaLI-3, Fuyu-8B, MistralLite, and more. Stay updated on AI developments in various domains.
The Rise of AI Engineering - Making an Industry with Swyx
Explore the emergence of AI engineering with Swyx, covering industry trends, AI vs ML engineering, demand-supply dynamics, and successful AI products. Gain insights into this evolving field and its impact.
Generalizing Outside the Training Distribution through Compositional Generation
Explore compositional generative modeling for AI generalization beyond training data, enabling complex planning and decision-making in unseen tasks and environments.
Orchestrating Generative AI Workflows to Deliver Business Value
Explore leveraging Large Language Models in existing software ecosystems using Python. Learn to balance innovation with established practices, applying text-to-image and text-to-speech technologies for robust, production-ready AI systems.
Recent Advances in Foundation Models: Scaling Laws, Emergent Behaviors, and AI Democratization
Explore recent advances in foundation models, scaling laws, and emergent behaviors in AI. Learn about efforts to democratize AI and make cutting-edge technology accessible to all.
Towards Foundation Models for Knowledge Graph Reasoning
Explore ULTRA, a novel approach for universal and transferable graph representations in knowledge graph reasoning, enabling zero-shot inductive inference and fine-tuning on unseen graphs.
Introducing REM-I: Deepcell's AI-Powered Instrument for Single Cell High-Dimensional Morphology Analysis
Explore AI-powered single-cell morphology analysis with REM-I, combining high-resolution imaging and deep learning for comprehensive cellular insights.
Towards Foundation Models for Electronic Health Records
Explore foundation models for Electronic Health Records, examining their potential and limitations in healthcare decision support and data analysis.
Serverless & Event-Driven Patterns for GenAI
Explore serverless and event-driven patterns for GenAI, learning efficient architectures for hosting, training, and consuming AI solutions on AWS at scale. Gain insights into EDA options for various business use cases.
The Rise of the AI Engineer
Explore the emerging role of AI Engineers as applied AI shifts, creating new opportunities in Software 3.0. Learn about Foundation Models and their impact on software development.
Meet FLAVA: A Unified Vision and Language Foundation Model
Explore FLAVA, a unified vision and language model, its architecture, and performance across 35 tasks. Learn about the journey towards creating this holistic foundation model for multimodal AI applications.
Businesses Must Move Fast to Catch the AI/ML Wave
Discover insights on AI/ML adoption in business from McKinsey experts, emphasizing the urgency for companies to leverage these technologies for value creation.
How to Deliver Enterprise Value with Foundation Models
Explore practical strategies for leveraging foundation models to deliver enterprise value, focusing on domain-specific workflows and improved accuracy for business applications.
What Exactly Is Generative AI?
Explore the reality behind generative AI hype with insights from Cohere's engineering fellow at Snorkel AI's 2023 summit.
Supercharging LLM Performance Without AI Training
Discover techniques to enhance large language model performance without additional training, focusing on innovative approaches and collaborative research findings.
Foundation Models Tutorial and Why Not to Fine-Tune Them
Explore Foundation Models: capabilities, adaptation, risks. Learn why fine-tuning can distort pre-trained features and underperform. Gain insights into responsible AI development and interdisciplinary research approaches.
Using AI Models to Fight Climate Change in Kenya
Explore how IBM and Kenya leverage AI and geospatial models to combat climate change through reforestation initiatives and water conservation efforts.
Trojan Model Hubs: Hacking the ML Supply Chain and Defending Against Model Serialization Attacks
Discover essential strategies for protecting ML systems from supply chain attacks, focusing on model scanning and cryptographic signing to defend against Model Serialization Attacks in public model hubs.
LIGER: Fusing Model Embeddings and Weak Supervision for Improved NLP and Vision Tasks
Explore LIGER: a novel approach fusing foundation model embeddings with expert-driven labeling functions to enhance NLP and vision tasks.
The Ethical Implications of Building a Real-Life Skynet
Explore the ethical challenges and limitations of generative AI, its potential for improvement, and its broader implications in the evolving landscape of artificial intelligence.