Category: Featured

IBM Releases Toucan: Largest Tool-Calling Dataset

IBM and University of Washington release Toucan, a groundbreaking dataset of 1.5 million real-world tool-calling scenarios designed to train better AI agents.

DeepSeek: Revolutionary OCR Context Compression

DeepSeek researchers introduce a novel OCR context compression technique that reduces token usage by 80% while maintaining accuracy on complex document tasks.

Google Launches Google Skills: 3,000 AI Courses

Google launches a new AI skills platform featuring certified courses and hands-on labs to help professionals master generative AI and machine learning.

OpenAI Company Knowledge: Business Data Insights

OpenAI launches Company Knowledge for ChatGPT Enterprise, enabling seamless integration with workplace tools like Slack and SharePoint for team productivity.

PyTorch Monarch: Distributed Programming

PyTorch announces Project Monarch, a new compiler backend that significantly improves training efficiency for Mixture-of-Experts (MoE) models on NVIDIA GPUs.

Anthropic in Talks with Google for Cloud Deal

AI startup Anthropic discusses a multi-billion dollar cloud computing deal with Google to significantly accelerate AI development and infrastructure scaling.

Anthropic: 250 Malicious Docs Can Poison Any LLM

Anthropic publishes research on data poisoning, proposing new defense mechanisms to protect large language models from adversarial training data attacks.

Google LAVA: AI-Powered VM Allocation

Google Research introduces LAVA, an AI-driven system that optimizes cloud computing resource allocation through advanced machine learning techniques.

MobileLLM-Pro: Meta’s 1B On-Device Model

Meta Reality Labs releases MobileLLM-Pro, a 1B parameter language model optimized for on-device inference with 128k context window and near-lossless int4.

PaddleOCR-VL: Baidu’s 0.9B Vision-Language Model

Baidu releases PaddleOCR-VL, a multi-modal OCR model that combines advanced visual perception with text recognition for superior document understanding.