A technical guide on migrating ML experiments from Neptune to Weights & Biases, covering the migration script, API-level code changes, and best practices for organizing projects and analyzing results in the W&B platform before the Neptune sunset.
W&B Models is the system of record for the entire model development lifecycle. This guide explores how to monitor training, tune hyperparameters, track artifacts and lineage for reproducibility, and automate MLOps workflows like evaluation and deployment using a central platform.
An expert overview of post-training techniques for language models, covering the entire workflow from data generation and curation to advanced algorithms like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Learning (RL), along with practical advice on evaluation and iteration.
In a YC Founder Fireside chat, AssemblyAI founder Dylan Fox discusses his journey from a solo founder in 2017 to leading a major voice AI infrastructure platform. He covers the early challenges, the technological shifts that fueled growth, the development of intelligent, promptable voice models, and the lessons learned in scaling a deep-tech company.
Sudip Roy, Co-founder & CTO of Adaption Labs, discusses how "Adaptation" using gradient-free, inference-time techniques can solve the last 5% reliability gap that stalls enterprise AI adoption, offering a more dynamic and cost-effective alternative to traditional fine-tuning or simply waiting for the next frontier model.
This talk by Hakim Si-Mohammed explores the evolution of Brain-Computer Interfaces (BCIs) from clinical rehabilitation tools to integral components of immersive systems. It details research on integrating BCIs with Virtual and Augmented Reality (VR/AR), focusing on SSVEP-based interaction, user experience enhancements, and the development of passive, neuro-adaptive systems that respond to user mental states to mitigate issues like cybersickness.
Ajay Chankramath and Nic Cheneweth discuss the critical elements of effective platform engineering, emphasizing a product mindset, the foundational role of control planes and API-first design, the common pitfalls of implementing Backstage, and the emerging impact of AI and agents on the platform landscape.
Experts Sam Newman, Jacqui Read, and Simon Rohrer explore the nuances of software design, its intersection with architecture, and the critical role of communication in scaling technical clarity. The discussion covers practical advice on implementing Architectural Decision Records (ADRs), the evolving role of the architect as a facilitator, and strategies for creating agile enterprise architectures.
Docker educators Bret Fisher and Elton Stoneman discuss the second edition of Stoneman's book, "Learn Docker in a Month of Lunches". They explore why Docker fundamentals remain crucial in a Kubernetes-dominated world, the evolution of the container ecosystem over the past five years, and the key skills that differentiate a Docker expert from a beginner, such as multi-platform builds, security, and configuration management.
Roman Zhukov (Red Hat) and Damian Brady (GitHub) explore the evolving landscape of AI-assisted software development, discussing its impact on developer workflows, code quality, security, and the future of developer roles. They emphasize that while AI tools are powerful amplifiers, human oversight remains essential for quality, security, and legal compliance.
Prime Intellect's Will Brown and Johannes Hagemann discuss the paradigm shift from static prompting to dynamic, environment-based AI development. They introduce their Environments Hub, a platform aimed at democratizing frontier-level training and enabling companies to build specialized models by compounding institutional knowledge.
Will Falcon, CEO of Lightning AI, discusses the company's merger with Voltage Park to create a full-stack AI neo-cloud. He delves into the capabilities of Lightning AI Studio, a comprehensive platform for AI development, and recounts the origin story of PyTorch Lightning, from a personal research tool to a world-leading open-source framework.
This post explores how to secure modern agentic AI systems by applying the core principles of Zero Trust. It details the unique attack surfaces of AI agents, such as prompt injection and model poisoning, and outlines a comprehensive security architecture including non-human identity management, AI firewalls, and the critical role of human oversight.
Asad Awan from OpenAI details the company's principled approach to introducing ads in ChatGPT. He explains how user trust, privacy, and control are prioritized, ensuring a strict separation between model answers and advertisements, and outlines a future where AI simplifies advertising for businesses.
A deep dive into the hardware design and implementation of HQC, a post-quantum cryptography scheme. The talk covers performance and security bottlenecks, detailing novel solutions for efficient polynomial multiplication by leveraging sparsity and constant-time methods for generating fixed-weight vectors to thwart side-channel attacks.
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