Innovations In Evaluating AI Agent Performance
tl;dr: Just like athletes need more than one drill to win a competition, AI agents require consistent training based on real-world performance metrics to excel in their role. At QA Wolf, we’ve developed weighted “gym scenarios” to simulate real-world challenges and track their progress over time. How does our AI use these metrics to continuously improve our accuracy? Visit our website to learn more.featured in #564
Innovations In Evaluating AI Agent Performance
tl;dr: Just like athletes need more than one drill to win a competition, AI agents require consistent training based on real-world performance metrics to excel in their role. At QA Wolf, we’ve developed weighted “gym scenarios” to simulate real-world challenges and track their progress over time. How does our AI use these metrics to continuously improve our accuracy? Watch our latest webinar to learn more.featured in #563
Everything I Built With Claude Artifacts This Week
- Simon Willison tl;dr: “I’m a huge fan of Claude’s Artifacts feature, which lets you prompt Claude to create an interactive Single Page App (using HTML, CSS and JavaScript) and then view the result directly in the Claude interface, iterating on it further with the bot and then, if you like, copying out the resulting code.” Simon shares what he built in the last 7 days.featured in #562
Innovations In Evaluating AI Agent Performance
tl;dr: Just like athletes need more than one drill to win a competition, AI agents require consistent training based on real-world performance metrics to excel in their role. At QA Wolf, we’ve developed weighted “gym scenarios” to simulate real-world challenges and track their progress over time. How does our AI use these metrics to continuously improve our accuracy? Watch our latest webinar to learn more.featured in #561
The Future Of AI, LLMs, And Observability On Google Cloud
tl;dr: Learn about the current and future states of AI, ML, and LLMs on Google Cloud. This guide distills the top 7 insights and actions from a fireside chat with Google’s Director of AI, Dr. Ali Arsanjani, and Datadog’s VP of Engineering, Sajid Mehmood. It covers everything from upskilling teams to observability best practices to help technical teams keep pace with the rapid advancements in AI.featured in #560
The Future Of AI, LLMs, And Observability On Google Cloud
tl;dr: Learn about the current and future states of AI, ML, and LLMs on Google Cloud. This guide distills the top 7 insights and actions from a fireside chat with Google’s Director of AI, Dr. Ali Arsanjani, and Datadog’s VP of Engineering, Sajid Mehmood. It covers everything from upskilling teams to observability best practices to help technical teams keep pace with the rapid advancements in AI.featured in #560
Introducing AI Assistance In Chrome DevTools
- Addy Osmani tl;dr: “A feature I'm particularly excited about is the AI's ability to prototype fixes. It can suggest changes to your styles and DOM structure, which are then reflected in the Changes panel. This allows you to experiment with solutions in real-time, without the fear of breaking your codebase.”featured in #560
The Impact of Generative AI on Software Developer Performance
tl;dr: BlueOptima's study of 200,000+ enterprise developers uncovered surprising insights on the reality of Generative AI: (1) Only 12% of developers commit GenAI code without modification, suggesting limited real-world integration. (2) Modest productivity gains of only 4%, indicating marketing claims are premature. (3) A decline in quality with high AI usage.featured in #559
Genie: Uber’s Gen AI On-Call Copilot
tl;dr: “For building an on-call copilot, we chose between fine-tuning an LLM model or leveraging Retrieval-Augmented Generation (RAG). Fine-tuning requires curated data with high-quality, diverse examples for the LLM to learn from. It also requires compute resources to keep the model updated with new examples.”featured in #558
AI-Powered Meeting Company Supernormal Launches Customizable Voice Agents
- Kelsey Foster tl;dr: The AI landscape has evolved rapidly, with a shift from basic automation to more sophisticated, conversational experiences. Read the inspiration behind Supernormal's latest product and more, some initial post-launch metrics, and what’s next for its AI products. Read the full story.featured in #557