Last week was crazy in OS AI, with important models and datasets releases every day. Here are the most important ones I've pinned: Cohere relased GLobal-MMLU, a multilingual version of MMLU, to evaluate AI models' world knowledge in many languages! Meta released
LLMS
-
Getting Started with Raspberry Pi for Coding and LLM Experiments
By
–
Any @Raspberry_Pi fans have tips on getting started & picking a kit? Any recs for RAM, storage, processor, and form factor? Favorite tutorials? I’m looking for an affordable, beginner-friendly Raspberry Pi to learn coding, running a lightweight LLM, experiment w/ building, etc.
-
Abacus AI offers state-of-the-art solutions for business
By
–
.
@AbacusAI provides state-of-the-art #AI #GenerativeAI #LLMs #DataScience #MachineLearning #MLOps solutions for business & industry. Check them out, dive into their amazing products & services, get started today, and ask for a FREE expert consultation: https://
abacus.ai -
DeepSeek founder on curiosity driving large model research costs
By
–
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."
-
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
-
AI Chatbot Stack for Enterprise HR Automation Solutions
By
–
Sample AI #Chatbot Landscape for #HR #Cloud for model deployment & QA #NLP for context & narrative solutions #AutoML for data insights #Bots for #Enterprise #Automation APIs for #AI & business ops integration #TechStack #Innovation via @EYnews
-
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,