LLMS - AI Dynamics

Stanford and Google Improve Transformer Training with Convex Analysis

By

–

01 December 2022 23h06

Stanford U & Google’s Convex Analytic Training Framework Improves the Understanding and Optimization of Transformers https://
syncedreview.com/2022/12/01/sta
nford-u-googles-convex-analytic-training-framework-improves-the-understanding-and-optimization-of-transformers/
…

→ View original post on X — @jiqizhixin

1 December 2022

MIT Scientists Use GPT-3 LLM for Clinical Natural Language Processing

By

@antgrasso

–

01 December 2022 23h00

Scientists at @MIT_CSAIL have used a GPT-3-style large language model (LLM) to perform tasks such as drug regimen extraction – an approach that will transform clinical natural language processing. Code > https://
bit.ly/3OK3CEd via @antgrasso #NLP #gpt3 #AI

→ View original post on X — @antgrasso

1 December 2022

RA-CM3 Scalable Modular Knowledge Integration Architecture

By

@aiatmeta

–

01 December 2022 22h34

RA-CM3 integrates knowledge in a more scalable & modular way compared to previous methods. It’s more resilient to long-tail or unseen knowledge which can help the growth & update of knowledge over time in real world settings. We’re excited for the possibilities it presents. 3/4

→ View original post on X — @aiatmeta

1 December 2022

RA-CM3 Model Outperforms Baselines with 70% Less Compute

By

@aiatmeta

–

01 December 2022 22h34

The RA-CM3 model significantly outperforms baseline multimodal models on both image & caption generation tasks, while using <30% of the compute of comparable models & exhibiting novel capabilities like knowledge-intensive image generation & multimodal in-context learning. 2/4

→ View original post on X — @aiatmeta

1 December 2022

Meta AI Introduces RA-CM3: Multimodal Model for Text and Image Generation

By

@aiatmeta

–

01 December 2022 22h34

New paper from our team at Meta AI. Retrieval-Augmented CM3 (RA-CM3) is the first multimodal model that can retrieve and generate mixtures of text and images — while also reducing training cost and model size. Now available on arXiv https://
arxiv.org/abs/2211.12561 1/4

→ View original post on X — @aiatmeta

1 December 2022

Jasper AI Advances GPT Networks for User Complexity Levels

By

@cerebras

–

01 December 2022 22h00

With @JasperAI, we strive to dramatically advance AI work, including training GPT networks to fit AI outputs to all levels of end-user complexity and granularity. Read more here: https://
hubs.li/Q01tMGsK0

→ View original post on X — @cerebras

1 December 2022

Confirming behavior reliability across sessions indicates different ChatGPT versions

By

@goodside

–

01 December 2022 21h03

Can you confirm this behavior is reliable across fresh sessions? If so, that means there are different versions of ChatGPT deployed to different users.

→ View original post on X — @goodside

1 December 2022