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Cohere's first developer coding model is a 30B mixture-of-experts running on a single H100 with 256K context length. The post Meet ‘North Mini Code’: Cohere’s 3

When you type a message to Claude, something invisible happens in the middle. The words you send get converted into long lists of numbers called activations tha

Three purpose-built audio models expand what developers can build with live voice: reasoning agents, speech translation across 70+ languages, and streaming tran

In the current landscape of Retrieval-Augmented Generation (RAG), the primary bottleneck for developers is no longer the large language model (LLM) itself, but

Google has officially released the Colab MCP Server, an implementation of the Model Context Protocol (MCP) that enables AI agents to interact directly with the

Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon tasks thr

The deployment of autonomous AI agents—systems capable of using tools and executing code—presents a unique security challenge. While standard LLM applications a

Large language models (LLMs) are transitioning from conversational to autonomous agents capable of executing complex professional workflows. However, their depl

The transition from a raw dataset to a fine-tuned Large Language Model (LLM) traditionally involves significant infrastructure overhead, including CUDA environm