Author(s): compensation Originally published on Towards AI. If you’re writing deep learning code on a machine with a GPU, TensorFlow will default to running on the CPU. This happens because …
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AI Tools
A coding guide to designing and orchestrating advanced React-based multi-agent workflows with AgentScope and OpenAI
In this tutorial, we build an advanced multi-agent incident response system using agentscopeWe orchestrate multiple React agents, each with a clearly defined role such as routing, triage, analysis, writing, and …
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Author(s): Rashmi Originally published on Towards AI. The Complete Guide to RAG Systems Retrieval-augmented generation (RAG) has revolutionized building intelligent systems by combining the power of large language models with …
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2026 is shaping up to be a crucial year for enterprise AI adoption. Enthusiasm remains high: According to MIT Technology Review Insights’ recent “Building a High-Performance Data and AI Organization” …
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AI Tools
A coding guide to building an autonomous multi-agent logistics system with route planning, dynamic auctions, and real-time visualization using graph-based simulation
In this tutorial, we create an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that …
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AI News
A coding guide to designing a complete agent workflow in Gemini for automated medical evidence collection and prior authorization submission
In this tutorial, we outline how to setup a fully functional, device-in-use medical pre-authorization agent powered by Gemini. We walk through each component step by step, from safely configuring the …
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Picture this: Your enterprise has just deployed its first generative AI application. Initial results are promising, but as you plan to expand into different departments, important questions arise. How do …
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It’s time for a big old groan. Next week’s newsletter will be a recap of our favorite culture picks of the year, a bit of the annual guide tradition so …
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AI News
A coding guide to building a procedural memory agent that learns, stores, retrieves, and reuses skills as neural modules over time
In this tutorial, we explore how an intelligent agent can gradually build procedural memory by learning reusable skills directly from its interactions with the environment. We design a minimal but …
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Author(s): Rashmi Originally published on Towards AI. Expedited Engineering Quick Guide Prompt engineering is the science of designing effective inputs (prompts) to obtain accurate, reliable, and optimized outputs from LLMs …