“We put a ton of time into not just model architecture, but also the data pipelines around it, how we eval the product, and having a really good RL loop around post-training and mid-training the model”

The a16z Show · The Missing Infrastructure for AI Agents: Documents | Reducto’s Adit Abraham

Play from 6:22
6:22

Audio streams from the publisher’s own feed. Verbatim does not host or copy it.

What was described

trained their own foundation model called R1, claiming higher accuracy, faster speed and lower cost than off-the-shelf models

Said nearby on the same subject

“The cost of that is lowered to nearly zero, and you can build your own… you can add your own features… very attractive to say, maybe building my own is something that is better than buying off the shelf”
DB
David Den Boer
FP&A Unlocked ·
Why it worked Share this moment
“I would do cost by app… or cost by model… I track spend and efficiency by model, so devs can look and see what’s the best model per their workload”
JW
Jason Ward
Agentic Conversations (formally mlops.community) ·
“Plug it into a foundation model and see what the foundation model thinks about what happened and then go back”
♫
Said on Machine Learning Street Talk (MLST)
Automation Share this moment
“We can actually model different scenarios... what happens if expenses rise faster than expected or when the market's down or if you need a new roof, buy a car or possibly healthcare costs increase”
♫
Said on Retire Right Radio
How they work Share this moment

Moments like this, every Monday

The strongest new moments on your topics, in the speakers' own words. Free for three topics.

No card. No password. One-click unsubscribe.

Track a competitor?

Pro watches up to 25 names or phrases and emails you the morning after they are said.

See Pro, $29 a month

Verbatim quotes a short extract and links to the episode; the episode belongs to its publisher. Remove a show.