16 Frameworks for ChatGPT Prompts:
LLMS
-
Google Introduces Gemini 2.0 AI Model Milestone
By
–
https://
youtube.com/watch?v=Fs0t6S
dODd8&t=1s
…
From @ShellyPalmer
's Newsletter … Google has introduced Gemini 2.0, its latest AI model designed to redefine the artificial intelligence landscape. Sundar Pichai, CEO of Alphabet and Google, describes the release as a milestone in the company’s effort -

Qwen 2.5 72B Outperforms GPT-4o and Claude Sonnet
By
–
Wait WTF, that's Qwen 2.5 72B absolutely nailing GPT4o & Claude Sonnet!
-

Cerebras Achieves 1 Trillion Parameter AI Model Training
By
–
To reach training of a 1 trillion parameter AI model is a one-of-a-kind achievement for frontier model development. Using Cerebras’ Wafer Scale Cluster technology, researchers at @SandiaLabs were able to initiate training on a single AI accelerator. We’re proud to help our
-

ChatGPT Voice Adds Live Video and Screen Sharing
By
–
chatgpt voice now supports live video and screensharing
-

Graph Tokens Boost LLM Graph Reasoning Capabilities
By
–
How can we best encode structured data into sequential form for LLMs? Join @phanein for a live demo today at 12:30PM at the #NeurIPS2024 Google Research booth to learn how Graph Tokens significantly boost an LLM's ability to solve graph reasoning tasks. https://
arxiv.org/pdf/2402.05862 -
SambaNova Qwen2.5-Coder Revolutionizes Software Development with AI Chips
By
–
Thanks for breaking all of this down @KeshaWillz
! SambaNova's Qwen2.5-Coder and #AI Chips are revolutionizing software development with 10x speed advantages, empowering developers to tackle complex coding tasks, optimize workflows, and unlock new levels of productivity, while -

Grok2 AI Advances: Elon Musk’s Technology Race Accelerates
By
–
L’IA de @elonmusk progresse à toute vitesse Grok2 est vraiment géniale ! La guerre des intelligence bat son plein !
-
MINT-1T: Trillion Token Multimodal Dataset for AI Models
By
–
Our researcher @etash_guha is presenting MINT-1T at @NeurIPSConf
! This work presents a large trillion token dataset of interleaved text & images for training large multimodal models. Please reach out to him to discuss MINT-1T! Paper here -
LLM Method Uses Sample Tasks for In-Context Learning
By
–
The researchers’ method uses an LLM pre-trained on text from across the Internet. Before asking PRoC3S to do a task, the team provided their language model w/a sample task (like drawing a square) that’s related to the target one (drawing a star). The sample task includes a
