Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

With Flash GA, the company is attempting to transition from being a provider of raw compute to becoming the essential ...

We’ve put together some practical python code examples that cover a bunch of different skills. Whether you’re brand new to ...

In this tutorial, we build an advanced, production-ready agentic system using SmolAgents and demonstrate how modern, lightweight AI agents can reason, execute code, dynamically manage tools, and ...

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...

Abstract: In the digital age, DeepSeek, as a new force in the field of artificial intelligence, has brought new solutions and changes to data management with its powerful natural language processing, ...

In this advanced tutorial, we aim to build a multi-agent task automation system using the PrimisAI Nexus framework, which is fully integrated with the OpenAI API. Our primary objective is to ...

LiteLLM allows developers to integrate a diverse range of LLM models as if they were calling OpenAI’s API, with support for fallbacks, budgets, rate limits, and real-time monitoring of API calls. The ...

As developers and dta scientists, we often find ourselves needing to interact with these powerful models through APIs. However, as our applications grow in complexity and scale, the need for efficient ...

Google has introduced a new features to their Gemini API, specifically targeting developers to help with code development. Let’s say you’re working on a project that requires complex Python coding, ...