i love how liang, deepseek founder, explains how the team are driven by curiosity. by pushing the unknown. when it comes to the eye-watering costs of large model research, he explains: "An exciting endeavor perhaps cannot be measured purely in monetary terms."
GENERATIVE AI
-
Llama 3.3 70B Trending on Hugging Face Hub Community
By
–
The community seems to be loving it! Llama 3.3 70B by @AIatMeta trending #2 on the Hub
-
Open-source AI models rise visualizations and growth analysis 2024
By
–
Four new visualisations of the rise of open-source AI models in 2024 added!
— Thomas Wolf (@Thom_Wolf) 9 décembre 2024
– explore how tasks have been growing
– how likes connect models together
– the geography of models creators and followers pic.twitter.com/flDXhorjDPFour new visualisations of the rise of open-source AI models in 2024 added!
– explore how tasks have been growing
– how likes connect models together
– the geography of models creators and followers -
AI-Generated Amazon Reviews Show Book Strengths and Weaknesses
By
–
9/25 Is this book for you? I asked the machine to produce a diversity of reviews as might be found on Amazon. They capture the strengths and weakness very well. Unsure whether you or your friend would enjoy the book? See these generated reviews.
-
Using ChatGPT-4o Prompts for Personal Productivity and Automation
By
–
I turned ChatGPT-4o into my personal assistant. Now I only work 1 hour a day. Here are 8 prompts I use to save hours every week:
-
Llama 3.3 70B Now Available on Groq Console
By
–
No need to wait. Llama 3.3 70B is available on our console now
-
Scaling Speech-Text Pre-Training with Synthetic Interleaved Data
By
–
Scaling Speech-Text Pre-Training with Synthetic Interleaved Data A method for scaling speech language models (SpeechLMs) by using synthetic speech-text interleaved data, bypassing the need for parallel speech-text datasets. Problem: Limited unsupervised speech and parallel
-
NVILA: Efficient Frontier Visual Language Models
By
–
NVILA: Efficient Frontier Visual Language Models A family of efficient and accurate visual language models that optimize processing high-resolution images and long videos. Problem: While VLMs have advanced in accuracy, their efficiency remains a significant challenge,
-
PaliGemma 2: Versatile Vision-Language Models for Transfer
By
–
PaliGemma 2: A Family of Versatile VLMs for Transfer An upgraded vision-language model family optimized for transfer tasks across various domains and resolutions. Problem: Previous VLMs lacked versatility in model size, resolution, and task-specific transfer capabilities,
-
Motion Prompting Framework for Precise Video Generation Control
By
–
Motion Prompting for Generation A flexible motion control framework for generating videos with precise spatio-temporal dynamics through motion prompts. Problem: Existing video generation models lack nuanced control over dynamic actions and temporal compositions,