DeepLearningAI

AI Dev 25 x NYC | Panel discussion: Breaking the Limits of AI Growth: from Hardware to Application

AI Dev 25 x NYC | Ori Goshen: Reliability Is the Bottleneck for Agents

AI Dev 25 x NYC | Nitin Kanukolanu: Semantic Caching for LLM Applications

AI Dev 25 x NYC Nicholas Clegg: How AWS Moved Beyond Orchestration with Strands SDK

AI Dev 25 x NYC | Manish Kapur: Assessing the Quality of AI Generated Code

AI Dev 25 x NYC | Kay Zhu: How Genspark Built a Super Agent That Scales

AI Dev 25 x NYC | João Moura: Design, Develop, and Deploy Multi Agent Systems with CrewAI

AI Dev 25 x NYC | Jacky Liang: Why Agents Can't Find the Right Docs (And How Postgres Fixes It)

AI Dev 25 x NYC | Hatice Ozen: Build a Deep Research Agent with One API Call

AI Dev 25 x NYC | Gary Qi: TRAE: Redefining Coding Agents

AI Dev 25 x NYC | Eric Sondhi: Small AI: The Next Big Thing

AI Dev 25 x NYC | David Park: Impact of Agentic AI in Financial Services on Document Extraction

AI Dev 25 x NYC | David Loker: Context Engineering for AI Code Reviews w/ MCP & Open source Tooling

AI Dev 25 x NYC | Christoph Meyer, Lars Heling: Improving AI Agent Discovery with a Knowledge Graph

AI Dev 25 x NYC | Benjamin Han: Snowflake: A SQL Engine to Talk to Your Data

AI Dev 25 x NYC | Andrew Ng: Opening Keynote

The speaker discusses the rapid advancements in AI and its impact on software development, noting that AI is doubling its capabilities every seven months. They highlight the increased speed and power in software creation due to AI building blocks like LLMs and agent workflows. The speaker contrasts the acceleration in ...

AI Dev 25 x NYC | Alex Ker: How Open source Models Actually Run AI Coding at Scale

AI Dev 25 x NYC | Aditya Dave, John Pepino: Productionizing AI Capabilities in Finance

AI Dev 25 x NYC | Aayush Kapoor: Vercel AI SDK: From Fundamentals to Deep Research

Generative AI for Software Development is open for enrollment!