The territory of artificial intelligence is constantly expanding. Today, many of the most powerful people LLM (Large Scale Language Model) Primarily resides in the cloud, offering incredible functionality but also concerns about privacy and...
While basic large language model (LLM) agents (agents that repeatedly call external tools) are easy to create, these agents often struggle with long-term and complex tasks because they lack the ability to plan ahead...
Anthropic recently published a guide to effective context engineering for AI agents, a reminder that context is a critical but limited resource. The quality of an agent often depends less on the model itself...
In this tutorial, we explore the high-level Model Context Protocol (MCP) and demonstrate how it can be used to solve one of the most unique challenges in modern AI systems: enabling real-time interaction between...
Researchers from Stanford University, Ecole Polytechnique Fédérale de Lausanne and the University of North Carolina introduce Swapping weakness for strength, W4Sa new reinforcement learning RL framework that trains a small meta-agent to design and...
Microsoft Research proposed BitNet Distillationconvert the existing full-precision LLM to 1.58 bits BitNet students target specific tasks while maintaining accuracy close to that of FP16 teachers and improving CPU efficiency. This method combines Architecture...
Kong has been open sourced volcanoa TypeScript SDK for natively building multi-step agent workflows across multiple LLM providers Model Context Protocol (MCP) Use of Tools. The release coincides with wider MCP functionality Kong Artificial...
Do your LLM code benchmarks actually reject solutions of wrong complexity and interactive protocol violations, or do they pass unspecified unit tests? Introducing a team of researchers from UC San Diego, New York University,...
Reinforcement Learning RL post-training is now the primary lever for inference-focused LL.M., but unlike pre-training it is not yet predictive Scaling rules. The team put tens of thousands of GPU hours into the run...
In this tutorial, we build a compact, efficient framework that demonstrates how to convert tool documentation into standardized, callable interfaces, register these tools in a central system, and execute them as part of an...