Reliable Inference At Scale Using

Title:

... modeling and

Discussion Meeting: ICTS-NETWORKS WORKSHOP "CHALLENGES IN NETWORKS" ORGANIZERS: Siva Athreya (ICTS-TIFR, ...

Download the AI model guide to learn more → https://ibm.biz/BdaJTb Learn more about the technology → https://ibm.biz/BdaJTp ...

Episode Notes: https://thedataexchange.media/sid-sheth-d-matrix/ Sid Sheth, founder and CEO of d-matrix, discusses the ...

In this talk, we will discuss the challenges of running ultra-low latency Large Language Model (LLM)

Variational

Sebastian Raschka joins the MAD Podcast for a deep, educational tour of what actually changed in LLMs in 2025 — and what ...

LLM

Learn more about AWS at - https://amzn.to/2OhWGyZ Real-life Machine Learning (ML) workloads typically require more than ...

At Ray Summit 2025, Henry Li and Liguang Xie from ByteDance share how they are shaping the next generation of LLM

In this episode, Philip Kiely, head of AI education at Baseten, joins us to unpack the fast-evolving discipline of

AI is powering the next wave of products across industries, but turning bold ideas into reality means solving one of the toughest ...

As AI workloads

In the last eighteen months, large language models (LLMs) have become commonplace. For many people, simply being able to ...

This talk explores essential strategies such as quantization, batching, caching, and hardware-aware optimizations that bridge the ...

Unlock high-performance LLM

Scaling

Most AI systems don't fail because of bad models — they fail because the system around them breaks. This video breaks down ...

At Ray Summit 2025, Fanhai Lu from Contextual AI shares how the company builds enterprise-grade AI agents and applications ...