O TYM ODCINKU
Hilary Term 2026 Strachey Lecture with Professor Ion Stoica, An AI stack: from scaling AI workloads to evaluating LLMs Large language models (LLMs) have taken the world by storm, enabling new applications, intensifying GPU shortages, and raising
concerns about the accuracy of their outputs. In this talk, I will present several projects I have worked on to address these
challenges. Specifically, I will focus on Ray, a distributed framework for scaling AI workloads, vLLM and SGLang, two
high-throughput inference engines for LLMs, and LMArena, a platform for accurate LLM benchmarking. I will conclude with key
lessons learned and outline directions for future research.
concerns about the accuracy of their outputs. In this talk, I will present several projects I have worked on to address these
challenges. Specifically, I will focus on Ray, a distributed framework for scaling AI workloads, vLLM and SGLang, two
high-throughput inference engines for LLMs, and LMArena, a platform for accurate LLM benchmarking. I will conclude with key
lessons learned and outline directions for future research.
Język angielski
Zjednoczone Królestwo
TRANSKRYPCJA 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
WYSZUKAJ MINIONE ODCINKI
Wyszukaj minione odcinki Strachey Lectures.
INNE ODCINKI W TYM PODCASCIE
It’s said that Henry Ford’s customers wanted “a faster horse”. If Henry Ford was selling us artificial intelligence today, what would the customer call for, “a smarter human”? That’s certainly the picture of machine intelligence we find in science fiction narratives, but the reality of what we’ve d…
The talk will emphasize the diversity of mathematical tools necessary for understanding blockchain protocols and their applications The talk will emphasize the diversity of mathematical tools necessary for understanding blockchain protocols and their applications (e.g., distributed computing, game …
An introduction to algorithmic aspects of symmetry and similarity, ranging from the fundamental complexity theoretic "Graph Isomorphism Problem" to applications in optimisation and machine learning Symmetry is a fundamental concept in mathematics, science and engineering, and beyond. Understanding …
Professor Christel Baier delivers the Hillary Term 2024 Strachey Lecture Abstract: The classical stochastic shortest path (SSP) problems asks to find a policy for traversing a weighted stochastic graph until reaching a distinguished goal state that minimizes the expected accumulated weight. SSP pro…
In this term's Strachey lecture, Professor Monika Henzinger gives an introduction to differential privacy with an emphasis on differential private algorithms that can handle changing input data. Decisions are increasingly automated using rules that were learnt from personal data. Thus, it is import…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Oxford University, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
EDYTUJ
Dziękujemy za pomoc w aktualizowaniu podcastowej bazy danych.
