INNOVATION

–

26 April 2023 23h55

The important piece of info to remember here is that we trained this model in under 10 days. The training was even called internally “YOLO RUN”. We’re excited about these benchmarks but can do even better. We've already started work to train a 7B model.

Replit Fine-Tuned Model Outperforms Codex with Better Efficiency

By

–

26 April 2023 23h55

Both models also benchmark impressively well against commercial models. replit-finetuned-v1-3b is by far the smallest model on the table and it outperformed Codex and LLaMA. PaLM-Coder is 200x larger and we’re closing in on their performance with much better latency.

Replit Open-Sources Complete Code Model 2.7B

By

–

26 April 2023 23h55

At #ReplitDevDay, we announced we’ve trained and are open-sourcing our first Complete Code model. Introducing replit-code-v1-3b: – 2.7B params
– 20 languages
– 525B tokens
– 40% better than comparable models
– Trained in 10 days Take a look at the benchmarks yourself

Replit Code Models Outperform Larger Open Source Competitors

By

–

26 April 2023 23h55

Replit-code-v1-3b & replit-finetuned-v1-3b were trained entirely on code and were meant for single-line code completion. We didn’t expect either to perform so well on HumanEval, but they did. replit-finetuned-v1-3b outperformed all OSS code models, even those 5x its size.

→ View original post on X — @googleai

REMEDIS: Self-Supervised Learning Framework for Medical Imaging

By

@googleai

–

26 April 2023 23h09

Learn about REMEDIS, a unified large-scale self-supervised learning framework for building foundation medical imaging models that shows significant improvement in data-efficient generalization across medical imaging tasks and modalities. Check it out → https://t.co/65GL7hR6k0 pic.twitter.com/OJRgedDd0P
— Google AI (@GoogleAI) 26 avril 2023

Learn about REMEDIS, a unified large-scale self-supervised learning framework for building foundation medical imaging models that shows significant improvement in data-efficient generalization across medical imaging tasks and modalities. Check it out → https://
goo.gle/41HmauE

→ View original post on X — @snorkelai

Data Key to AI Success Over Shiny Demos

By

@snorkelai

–

26 April 2023 23h07

"It's easy to get distracted by shiny demos. Our goal at Snorkel is to focus on practical innovation, work closely with customers, and deliver real value. AI tech will continue to evolve, but data is key to success" @paroma_varma at GCP Startup Summit https://
cloudonair.withgoogle.com/events/summit-
startup-summit-23?talk=t1_s3_founderadvice
…

→ View original post on X — @tiernanraytech

Wolfspeed misses outlook despite Mohawk Valley fab operations

By

@tiernanraytech

–

26 April 2023 23h06

Meta, eBay, Roku surge, Wolfspeed drops Wolfspeed’s outlook with new Mohawk Valley fab now running falls short of consensus. https://
thetechnologyletter.com/the-posts/meta
-ebay-roku-surge-wolfspeed-drops
… $EBAY $META $WOLF $ROKU $NOW #investing #stocks #earningsseason #siliconcarbide #semiconductors

→ View original post on X — @haroldsinnott

How Partnerships are Changing the Tech Industry

By

@haroldsinnott

–

26 April 2023 22h13

How Partnerships are Changing the Tech Industry Check my article and video interview with David Shepherd, from @GoIvanti , at #MWC23 in #Barcelona https://
linkedin.com/pulse/how-part
nerships-changing-tech-industry-harold-sinnotttrackingId=2B4nQRVsVSY2B0QVXQwaaMDg3D3D/?trackingId=4nQRVsVSY0QVXQwaaMDg
… #TechAhead @GSMA #IvantiPartner #Ad #Technology #AI #IoT #5G #FutureOfWork #RemoteWork #HybridWork