How Rad AI revolutionized radiology workloads with cutting-edge ML
AI in radiology improves efficiency and reduces errors.
What are Weights & Biases' incremental tables and charts?
The video explains how to create and use incremental tables in Weights and Biases for logging data over multiple steps and visualizing changes.
How one leader got his team to embrace AI
Leaders can improve AI adoption by openly using AI tools during meetings, encouraging others to do the same.
Weights & Biases Tradewinds submission
Weights and Biases is a leading MLOps platform that provides tools for experiment tracking, collaboration, and model optimization.
Mastering model customization: fine-tuning Azure OpenAI service models with Weights & Biases
The discussion focuses on model customization through fine-tuning using Azure OpenAI and Weights & Biases, highlighting practical applications and benefits.
The rise of AI agents
The discussion focuses on the role of AI agents in enterprises, their applications, and the infrastructure needed to manage them effectively.
W&B Weave: Deliver AI applications with confidence
Weights and Biases' Weave tool helps developers optimize AI applications by monitoring performance across quality, latency, cost, and safety.
Fine-tuning Models with W&B Weave for better performance
Weights and Biases is an AI developer platform that facilitates model training, fine-tuning, and deployment with a focus on experimentation and collaboration.
Using W&B Custom Roles with SCIM API
The video demonstrates how to create and manage custom roles with additional permissions using an enterprise-level feature and automate the process using an API.
DeepSeek R1 vs OpenAI’s O1: A New Era of AI Reasoning?
The R1 and R10 models from Deep Seek represent a paradigm shift in AI, focusing on reasoning and open-source training methodologies.
The developer infrastructure boom
The speaker discusses their early investment thesis in developer infrastructure and AI, focusing on making developers more productive and leveraging open-source projects.
Deepseek, Stargate and AI's $600 Billion Question with Sequoia's David Cahn
The discussion centers on AI industry trends, investment strategies, and the impact of AI on various sectors.
Creating W&B team with an S3 bucket using terraform
The video demonstrates how to use Terraform to create an S3 bucket for storing Weights and Biases experiments, automating the setup process.
Comparing Runs between projects in W&B
The video demonstrates how to compare runs from two different projects using a report tool.
How to set up W&B Slack alerts on dedicated cloud deployment
Guide on setting up Slack alerts for Weights and Biases cloud deployment.
Real-world ways developers are using Marimo
Marimo is a versatile tool used for creating reusable apps and dashboards, appealing to both data analysts and software engineers.
Linking artifact to W&B registry using org-level service accounts
Guide on creating and using a service account to link artifacts to a Weights & Biases registry.
Fine tuning Azure OpenAI Service Models with Weights & Biases
The session discusses fine-tuning AI models to improve performance, accuracy, and efficiency for specific tasks and domains.
LLMOps in action: Streamlining the path from prototype to production
The session discusses the challenges and strategies for bringing generative applications from prototyping to production, focusing on LLM Ops and the importance of experimentation and collaboration.
Generative AI in Manufacturing: Revolutionizing tool development in industry leaders
Generative AI is transforming manufacturing by optimizing design processes, improving quality control, and reducing costs.
Building the future of collaborative AI development with Akshay Agrawal
The podcast discusses Maro, a new type of Python notebook that enhances reproducibility and integrates interactive computing with traditional software engineering practices.
Building AI agents using Weights & Biases
Adam demonstrates using Weave to build a personal AI assistant, focusing on improving iteration speed and reliability through performance tracking and evaluations.
Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez
The discussion focuses on evaluating and improving large language models (LLMs) using tools like Chatbot Arena and Run LLM, emphasizing the importance of model behavior, style, and practical applications in real-world scenarios.