Weekly Newsletter
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OpenAI
Meet dots.ocr: A New 1.7B Vision-Language Model that Achieves SOTA Performance on Multilingual Document Parsing
dots.ocr is an open-source vision-language transformer model developed for multilingual document layout parsing and optical character recognition (OCR)....
admin2 Mins read
Amazon Unveils Bedrock AgentCore Gateway: Redefining Enterprise AI Agent Tool Integration
Amazon Web Services (AWS) has launched the Amazon Bedrock AgentCore Gateway, a transformative managed service designed to simplify and scale AI agent-to-tool integrations...
admin3 Mins read
This AI Paper Introduces ReaGAN: A Graph Agentic Network That Empowers Nodes with Autonomous Planning and Global Semantic Retrieval
How can we make every node in a graph its own intelligent agent—capable of personalized reasoning, adaptive retrieval, and autonomous decision-making? This is...
admin3 Mins read
NVIDIA AI Just Released the Largest Open-Source Speech AI Dataset and State-of-the-Art Models for European Languages
Nvidia has taken a major leap in the development of multilingual speech AI, unveiling Granary, the largest open-source speech dataset for European languages,...
admin2 Mins read
R-Zero: A Fully Autonomous AI Framework that Generates Its Own Training Data from Scratch
Large Language Models (LLMs) have revolutionized fields from natural language understanding to reasoning and code generation. However, pushing their reasoning ability to truly...
admin3 Mins read
Salesforce AI Releases Moirai 2.0: Salesforce’s Latest Time Series Foundation Model Built on a Decoder‑only Transformer Architecture
Salesforce AI Research has unveiled Moirai 2.0, the latest advancement in the world of time series foundation models. Built atop a decoder-only transformer...
admin3 Mins read
An Implementation Guide to Design Intelligent Parallel Workflows in Parsl for Multi-Tool AI Agent Execution
In this tutorial, we implement an AI agent pipeline using Parsl, leveraging its parallel execution capabilities to run multiple computational tasks as independent...
admin5 Mins read
Dynamic Fine-Tuning (DFT): Bridging the Generalization Gap in Supervised Fine-Tuning (SFT) for LLMs
Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued...
admin3 Mins read
