GPT-4.1 - Frontier Models

There are 10 items in this page

22:26

Benchmarks4 weeks ago

How long can your skills be before your agent forgets what you told it? — Laurie Voss, Arize AI

Laurie Voss, head of developer relations at Arize AI and co-founder of npm, presents original benchmark research at AI Engineer tackl...

36:31

Interviews1 month ago

⏭️ Forward Deployed: Voice AI on what works in 2026

Latent Space launches its Forward Deployed Engineering podcast with a panel recording featuring engineers and founders from Decagon,...

32:57

Tutorials3 months ago

Voice Agents That Handle Interrupts – Chintan Agrawal and Daniel Wirjo, AWS

AWS solutions architects Chintan Agrawal and Daniel Wirjo tackle one of the least-discussed engineering challenges in voice AI: turn-...

21:31

Deep Dives5 months ago

Two Rival Bets on AGI: Google I/O Highlights

AI Explained's breakdown of Google I/O goes beyond product announcements to identify eight moments pointing toward deeper strategic n...

01:20:07

Deep Dives5 months ago

Mind the Gap (In your Agent Observability) — Amy Boyd & Nitya Narasimhan, Microsoft

Amy Boyd and Nitya Narasimhan from Microsoft's Azure AI Foundry developer relations team deliver a hands-on workshop at AI Engineer L...

27:02

⚡️ Reverse Engineering OpenAI’s Training Data — Pratyush Maini, Datology

Deep Dives8 months ago

⚡️ Reverse Engineering OpenAI’s Training Data — Pratyush Maini, Datology

Pratyush Maini, a CMU PhD candidate and founding team member at Datology, joins the Latent Space Lightning Pod to discuss original re...

34:52

Build Your First AI Voice Agent for Inbound Calls & Bookings

Coding & Builds9 months ago

Build Your First AI Voice Agent for Inbound Calls & Bookings

Bart Slodyczka walks through building a production-ready AI voice agent for inbound business calls, integrating Retell AI as the phon...

27:34

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

Interviews9 months ago

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

Josh McGrath, a post-training researcher at OpenAI working on thinking models, joins Latent Space for a candid discussion of what has...

20:21

FINALLY – Create 60-Seconds AI UGC Ads with Character Consistency on AUTOPILOT (n8n Tutorial)

Coding & Builds10 months ago

FINALLY – Create 60-Seconds AI UGC Ads with Character Consistency on AUTOPILOT (n8n Tutorial)

Producing AI-generated UGC video ads longer than a few seconds — with the same character appearing consistently across every clip — h...

18:30

RL Environments at Scale – Will Brown, Prime Intellect

Deep Dives10 months ago

RL Environments at Scale – Will Brown, Prime Intellect

Will Brown of Prime Intellect reframes the challenge of scaling reinforcement learning—moving beyond raw compute to the accessibility...