SageMaker

2025 is the Year of Evals! Just like 2024, and 2023, and … — John Dickerson, CEO Mozilla AI

Aug 6, 2025 · 19:14

John Dickerson, CEO of Mozilla AI and former co-founder of Arthur AI, argues that 2025 is finally the year for AI evaluation (evals) due to three converging forces: ChatGPT making AI tangible to the C-suite, enterprise budget freezes that funnelled funding into GenAI pet projects, and the rise of agentic systems acting autonomously. He traces how ML monitoring existed pre-2022 but lacked C-suite attention, with Jamie Dimon’s JPMC spending only $100 million on AI from 2017 to 2021. The ChatGPT launch on November 30, 2022, unlocked CEO discretionary budgets for GenAI, leading to 2023 science projects, 2024 production deployments, and 2025 scaling. Now, as agents reason and act, connecting evals to downstream business KPIs—risk mitigation, revenue gains—is a first-class discussion for CEOs, CFOs, CISOs, and CTOs. Dickerson notes that evaluation companies have shifted to multi-agent system monitoring, and while LLM-as-judge is popular, biases require human validation, with companies like Mercor hiring experts at $50–200/hour to lockstep multi-agent outputs.

POC to PROD: Hard Lessons from 200+ Enterprise GenAI Deployments - Randall Hunt, Caylent

Jul 23, 2025 · 19:16

Randall Hunt from Caylent shares hard lessons from over 200 enterprise GenAI deployments, arguing that evals, embeddings, and prompt engineering matter far more than fine-tuning. He emphasizes that speed and UX are critical; a slow inference kills adoption, while techniques like generative UI and caching can mitigate latency. Hunt details real-world examples: using audio amplitude spectrographs for sports highlight reels, pooling multimodal embeddings for nature footage search, and noting that nurses prefer chat over voice bots in noisy hospitals. He reports zero regressions moving from Claude 3.7 to 4, and advises optimizing context and economics, such as leveraging Amazon Bedrock batch for 50% cost reduction. The talk underscores that knowing your end customer and minimizing irrelevant context are key to production success.

Claude plays Minecraft!

Feb 15, 2025 · 18:16

Derek from AWS demonstrates building Rocky, an autonomous Minecraft agent using Amazon Bedrock, Claude 3 Haiku, and serverless AWS services, proving agentic workflows enable AI to reason and act beyond chatbots. He explains the architecture: Minecraft server on ECS with Mineflare bot framework, agents for Bedrock with return of control, and prompt engineering for tasks like digging and building. In a live demo, Rocky jumps, finds players, digs a hole, and builds a double-decker couch from a chat command, inferring parameters from natural language. The code is open-source and built with CDK/CloudFormation, emphasizing that agentic AI can operate in complex 3D environments through tool orchestration and managed prompt design.

Cohere for VPs of AI: Vivek Muppalla

Feb 5, 2025 · 16:11

Vivek Muppalla, Director of Engineering at Cohere, details the company's enterprise AI strategy centered on security, customization, and deployment flexibility. He presents Cohere's product line: Command R and R+ for generation, plus advanced retrieval models like embeddings and the ReRanker, which reduces RAG costs by narrowing context. Key claims include a focus on enterprise-specific eval suites (health, HR, finance), out-of-the-box citations, and multilingual performance. Partnerships with Accenture and McKinsey bridge the last-mile gap, while wins often stem from private cloud deployment and data control. In Q&A, he recommends purpose-built classifiers for high-throughput production and notes current 128k context windows.