Shows
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)AI Trends 2025: AI Agents and Multi-Agent Systems with Victor DibiaToday we’re joined by Victor Dibia, principal research software engineer at Microsoft Research, to explore the key trends and advancements in AI agents and multi-agent systems shaping 2025 and beyond. In this episode, we discuss the unique abilities that set AI agents apart from traditional software systems–reasoning, acting, communicating, and adapting. We also examine the rise of agentic foundation models, the emergence of interface agents like Claude with Computer Use and OpenAI Operator, the shift from simple task chains to complex workflows, and the growing range of enterprise use cases. Victor shares insights into emerging design patterns for auto...2025-02-101h 44
Rasa ChatsGetting into ML research, multimodal agents and the many uses of seq2seq modelsIn today's episode, senior developer advocate Rachael talks with researcher Dr. Victor Dibia about how he got into machine learning, multimodal agents and the many uses of sequence to sequence models. Stay tuned to the end to help us shoutout our newest Rasa contributors! Rasa Chats is a biweekly podcast about conversational AI brought to you by the Rasa team. Expect discussions about open source, applied research and how our community of makers is building accessible AI.
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Send in a voice message: https://anchor.fm/rasachats/message2021-06-0245 min
The InfoQ PodcastVictor Dibia on TensorFlow.js and Building Machine Learning Models with JavaScriptVictor Dibia is a Research Engineer with Cloudera’s Fast Forward Labs. On today’s podcast, Wes and Victor talk about the realities of building machine learning in the browser. The two discuss the capabilities, limitations, process, and realities around using TensorFlow.js. The two wrap discussing techniques like Model distillation that may enable machine learning models to be deployed in smaller footprints like serverless.
- While there are limitations in running machine learning processes in a resource constrained environment like the browser, there are tools like TensorFlow.js that make it worthwhile. One powerful use case is the ability to p...2019-11-0828 min
Practical AIAI in the browserWe’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js
Join the discussionChangelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!Sponsors:DigitalOcean – DigitalOcean now offers three managed databases — PostgreSQL...2019-10-2149 min
Changelog Master FeedAI in the browser (Practical AI #61)We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js2019-10-2100 min