Foundation Models - Frontier Models

There are 457 items in this page

16:30

Foundation Models3 weeks ago

Ending AI Slop — Thais Castello Branco, Taste Labs

Thais Castello Branco, founder of Taste Labs, delivers a conference talk on the company's mission to eliminate "AI slop" — the pervas...

0 comments

19:05

Foundation Models3 weeks ago

Data Quality Is the Compute Multiplier — Ari Morcos, DatologyAI

Ari Morcos, CEO and co-founder of DatologyAI, opens the data quality track at AI Engineer with a data-rich argument that better train...

0 comments

18:20

Foundation Models3 weeks ago

Learning on the Job: The Future of Post-Training — Raymond Feng, Applied Compute

Raymond Feng of Applied Compute presents a framework for the next generation of post-training at AI Engineer, arguing that the field...

0 comments

19:12

Foundation Models3 weeks ago

Data and Environment Curation for Post-Training LLMs — Mahesh Sathiamoorthy, Bespoke Labs

Mahesh Sathiamoorthy, co-founder and CEO of Bespoke Labs and formerly a researcher at Google DeepMind, presents the company's open-so...

0 comments

21:09

Foundation Models4 weeks ago

Persona Engineering: A Field Guide to AI Synthetic Personas — Ishan Anand, InsightSciences.ai

Ishan Anand, Chief AI Officer at InsightSciences.ai, delivers a structured field guide to synthetic personas at the AI Engineer confe...

0 comments

21:39

Foundation Models4 weeks ago

Serving 2 Million Models Without Melting: Scaling the Hugging Face Hub — Arek Borucki, Hugging Face

Arek Borucki, a machine learning platform and database engineer at Hugging Face, takes the AI Engineer conference stage to walk throu...

0 comments

06:40

Foundation Models4 weeks ago

AMD Releases First Ever AI model: Instella-MoE-16B-A3B-Think

AMD has released Instella-MoE-16B-A3B-Think, its first-ever mixture-of-experts language model, trained entirely on AMD Instinct MI300...

0 comments

24:01

Foundation Models4 weeks ago

US AI Dominance Is Over: Here’s Why

Nate B. Jones delivers a structured breakdown of the Chinese AI model landscape, arguing that the real problem is not whether US AI d...

0 comments

17:31

Foundation Models4 weeks ago

The Messy Reality of Scale: Synthetic Data and Pre-Training — Marah Abdin & Robert McHardy, poolside

Marah Abdin and Robert McHardy from poolside share detailed lessons from scaling their foundation model lineup at the AI Engineer con...

0 comments

23:13

Foundation Models4 weeks ago

Evaling Video Slop — Maor Bril, Character.ai

Maor Bril, a two-year veteran of Character.ai, addresses a widening gap in the AI video space: while generation models like Kling, Se...

0 comments

20:24

Foundation Models4 weeks ago

From Agent Traces to Agent Simulations — Rustem Feyzkhanov, Snorkel AI

Rustem Feyzkhanov, head of the AI platform team at Snorkel AI, presents the case that private benchmarks built from production traces...

0 comments

17:57

Foundation Models4 weeks ago

Loop Engineering from First Principles — Kyle Mistele, HumanLayer

Kyle Mistele, co-founder of HumanLayer, presents a principled engineering framework for building AI coding loops that work in product...

0 comments

21:17

Foundation Models4 weeks ago

Evals-Driven Development for a Mental Health AI Coach — Akele Reed & Dave Revere, SonderMind

Akele Reed and Dave Revere from SonderMind present the engineering architecture behind Sonder, a clinically grounded AI mental health...

0 comments

19:29

Foundation Models1 month ago

How Evals and Prompts Shape Agent Behavior — Preetika Bhateja & Daniel Bump, YouTube Ads

Preetika Bhateja and Daniel Bump, engineers on the YouTube Ads image and video models team at Google, share practical lessons from bu...

0 comments

20:36

Foundation Models1 month ago

From Signal to PR: Anatomy of a Self-Improving Agent — Jason Lopatecki, Arize

Jason Lopatecki, co-founder of Arize AI, delivers a technical deep-dive at the AI Engineer conference on how to build agents that imp...

0 comments

Do Not Miss

Search Suggestions