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A quick reel highlighting our historic AI Day!

Neural Magic's CTO, Mark Kurtz discussed their collaboration with Cerebras, which has led to advancements in deploying large language models and achieving real-time LLM performance on standard CPUs that meet or exceed GPU capabilities.

Short introducing to Cerebras Systems

Kiril Evtimov, Group Chief Technology Officer of G42 and CEO for Core42, joined Andrew Feldman on stage for a fireside chat about our strategic partnership and our impact on the future of AI.

Qualcomm's VP, Cloud Computing, Rashid Attar joined Andrew Feldman on stage for a fireside chat discussing How Cerebras and Qualcomm can deliver 10x performance on AI model inference.

Our partners from Mayo Clinic, Glaxo Smith Kline, and the University of Montreal / MILA joined us for a discussion on how healthcare, drug discovery, and ML research are being advanced on Cerebras.

VP of Product, Jessica Liu, describes why Cerebras has the best platform for building state-of-the-art Generative AI results. Jessica describes the process for building high-quality AI models, the cost and complexity of doing this on GPU clusters, and how much easier it is on Cerebras. Jessica describes some of the state-of-the-art Generative AI models Cerebras has built for customers and partn...

CTO and Co-Founder Sean Lie takes a deep dive into the CS-3's architecture. Sean describes how the Cerebras CS-3 delivers 2x performance at the same power and price as the CS-2. Sean also describes how Cerebras builds clusters that can train trillion parameter models at record speeds while operating with the simplicity of a single device. Finally, Sean describes how Cerebras can do even better ...

Cerebras AI Day kicks off with CEO Andrew Feldman's opening remarks. Andrew discusses the unprecedented growth produced by AI, the challenges with distributed computing, Cerebras announcing the largest chip ever made, how Cerebras supercomputers were built from the ground up, and the world-leading AI models built on Cerebras.

A short video of Cerebras AI Day, March 19th 2024

Condor Galaxy-1 (CG-1) is the 4 exaFLOPs AI supercomputer built from 64 Cerebras CS-2s by Cerebras and G42. CG-1 powers the most advanced AI workloads and delivers massive AI compute at your fingertips! Learn more about CG-1 here: www.cerebras.net/condor-galaxy-1

Large language models have provided convincing evidence of their significant capabilities, both in downstream tasks and in real-world scenarios. However, low- and mid-resource languages lack the necessary resources to train such models from scratch and often have to rely on multilingual models despite being underrepresented in the training data. This talk describes the experiments that prove th...

This talk gives an overview of the process of building GPT-SW3, a multilingual LLM trained in 6 languages. Felix covers data ingestion and preprocessing, training, and evaluation of the model, as well as future plans. The focus of the presentation will be on multilingual aspects and challenges.

In this talk, Joel presents details of the pretraining process for Jais models, a series of bilingual Arabic-English language models. Jais models are the current best Arabic models, and they show English capability competitive with state-of-the-art models, even when trained with fewer English tokens. Jais models have been scaled to 13B and 30B parameters. Joel discusses pretraining techniques t...

1st Multilingual Model Workshop - Continued Pre-training of LLMs​

1st Multilingual Model Workshop - Accelerating Multilingual AI Progress with AYA

1st Multilingual Model Workshop - Developing Arabic-centric Bilingual LLMs​

1st Multilingual Model Workshop - Highly-nuanced and Context-aware Data Generation approaches

1st Multilingual Model Workshop - Training an instruction tuned and aligned LLM for Indian languages

1st Multilingual Model Workshop - Guardrails and Evaluation of the Jais Arabic-English LLMs

1st Multilingual Model Workshop - Overview of Japanese Efforts to Train LLMs​

1st Multilingual Model Workshop - FinGPT: Large Generative Models for a Small Language

The State of AI in June 2023 with Nathan Benaich

How to Train Sparse Large Language Models with Vithu Thangarasa

Cerebras Developer Community Meeting 11: Using and Deploying Cerebras-GPT

ICLR 2023 Workshop on Sparsity in Neural Networks - Introduction

50 Megapixel Image Segmentation

How we made Cerebras-GPT with Nolan Dey and Quentin Anthony

Using the Cerebras AI Model Studio Launchpad is Easy