Weekly Newsletter
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OpenAI
Using RouteLLM to Optimize LLM Usage
RouteLLM is a flexible framework for serving and evaluating LLM routers, designed to maximize performance while minimizing cost. Key features: Seamless integration —...
admin5 Mins read
From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude
Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that slashes the amount of...
admin2 Mins read
AI Agent Trends of 2025: A Transformative Landscape
The year 2025 marks a defining moment in the evolution of artificial intelligence, ushering in an era where agentic systems—autonomous AI agents capable...
admin3 Mins read
Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning
Introduction Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue...
admin4 Mins read
9 Agentic AI Workflow Patterns Transforming AI Agents in 2025
AI agents are at a pivotal moment: simply calling a language model is no longer enough for production-ready solutions. In 2025, intelligent automation...
admin3 Mins read
Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis
In this tutorial, we walk through building an advanced PaperQA2 AI Agent powered by Google’s Gemini model, designed specifically for scientific literature analysis....
admin7 Mins read
Mixture-of-Agents (MoA): A Breakthrough in LLM Performance
The Mixture-of-Agents (MoA) architecture is a transformative approach for enhancing large language model (LLM) performance, especially on complex,...
admin2 Mins read
FAQs: Everything You Need to Know About AI Agents in 2025
TL;DR Definition: An AI agent is an LLM-driven system that perceives, plans, uses tools, acts inside software environments, and maintains state to reach...
admin4 Mins read
