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LLM

All AI Pulse updates tagged "LLM".

17 signals
X.com06/29, 20:46Infrastructure

Databricks can lift entire databases using LLMs

In less than 30 days, which used to take years.

X.com06/29, 20:31Infrastructure

THE LOCAL LLM PC MARKET JUST GOT VERY REAL

Mini AI PCs under $2000 are being sold as local LLM machines.

X.com06/25, 19:15Open Source

“The #3 closed-source LLMs is most in trouble.

“The #3 closed-source LLMs is most in trouble. As enterprises adopt model routing, they're increasingly choosing between the top proprietary models and rapidly improving open-source alternatives. That leaves the number three closed-source provider squeezed fro

X.com06/20, 00:30Business

Underrated source of devtool ideas

An underrated source of good startup devtool ideas: taking an old boring API and making it agent native.

X.com06/18, 20:30Business

Yann LeCun ( @ylecun ) explains why LLMs are limited in terms of real-world intelligence duri...

Yann LeCun ( @ylecun ) explains why LLMs are limited in terms of real-world intelligence during a Bloomberg interview. "Language is a very approximate, reduced, quantized, and simplified description of the world, and LLMs can only deal with discrete sequences

X.com06/13, 23:15Research

I believe we have a mostly wrong framing of what could be done in Europe.

Italy's Leonardo supercomputer has enough compute for large LLM training.

X.com06/08, 20:56Research

Schoolboy coding a Python game next to a jigsaw puzzle

He is coding a Python game while working on a jigsaw puzzle.

X.com06/06, 03:01Business

Startup Cuts LLM Token Costs

The startup can reduce costs by half, sharing savings with customers.

X.com06/06, 00:30Infrastructure

Harness-1 Improves Search Agents by Offloading Memory Work

Moves memory work out of the model to enhance performance.

X.com06/05, 23:30Product Update

Microsoft Releases Free Tool Cutting Claude Costs by 70%

New tool reduces token consumption when processing PDFs.

X.com06/04, 17:00Product Update

New course on serving LLMs efficiently

Learn how to serve models to many concurrent users at low latency.