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Category: llm-agent

  • Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale

    Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale Reducing LLM costs by 30% with validation-aware, multi-tier caching The post Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale appeared first on Towards Data Science. Partha Sarkar Go to original source

  • Achieving 5x Agentic Coding Performance with Few-Shot Prompting

    Achieving 5x Agentic Coding Performance with Few-Shot Prompting Learn to leverage few-shot prompting to increase your LLMs performance The post Achieving 5x Agentic Coding Performance with Few-Shot Prompting appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • How to Leverage Slash Commands to Code Effectively

    How to Leverage Slash Commands to Code Effectively Learn how I utilize slash commands to be a more efficient engineer The post How to Leverage Slash Commands to Code Effectively appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • How to Facilitate Effective AI Programming

    How to Facilitate Effective AI Programming How to ensure your coding agent has the same context as you The post How to Facilitate Effective AI Programming appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach

    Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science. Partha Sarkar Go to original source

  • Build LLM Agents Faster with Datapizza AI

    Build LLM Agents Faster with Datapizza AI Intro Organizations are increasingly investing in AI as these new tools are adopted in everyday operations more and more. This continuous wave of innovation is fueling the demand for more efficient and reliable frameworks. Following this trend, Datapizza (the startup behind Italy’s tech community) just released an open-source…

  • How to Build a Powerful Deep Research System

    How to Build a Powerful Deep Research System Learn how to access vasts amounts of information with your own deep research system The post How to Build a Powerful Deep Research System appeared first on Towards Data Science. Eivind Kjosbakken Go to original source

  • LangGraph 101: Let’s Build A Deep Research Agent

    LangGraph 101: Let’s Build A Deep Research Agent Learn LangGraph fundamentals from Google’s open-source full-stack implementation The post LangGraph 101: Let’s Build A Deep Research Agent appeared first on Towards Data Science. Shuai Guo Go to original source

  • Talk to my Agent 

    Talk to my Agent  The exciting new world of designing conversation driven APIs for LLMs. The post Talk to my Agent  appeared first on Towards Data Science. Roni Dover Go to original source

  • Building a Сustom MCP Chatbot

    Building a Сustom MCP Chatbot Understanding all the details of the model context protocol The post Building a Сustom MCP Chatbot appeared first on Towards Data Science. Mariya Mansurova Go to original source

  • Recap of all types of LLM Agents

    Recap of all types of LLM Agents Regular, ReAct, Chain-of-Thought, Reflexion, ToT, GoT, PoT The post Recap of all types of LLM Agents appeared first on Towards Data Science. Mauro Di Pietro Go to original source

  • Agentic AI: Implementing Long-Term Memory

    Agentic AI: Implementing Long-Term Memory The problem and current solutions The post Agentic AI: Implementing Long-Term Memory appeared first on Towards Data Science. Ida Silfverskiöld Go to original source

  • Beyond Code Generation: Continuously Evolve Text with LLMs

    Beyond Code Generation: Continuously Evolve Text with LLMs Long-running content evolution and an introduction to result analysis The post Beyond Code Generation: Continuously Evolve Text with LLMs appeared first on Towards Data Science. Julian Mendel Go to original source

  • How to Build an AI Journal with LlamaIndex

    How to Build an AI Journal with LlamaIndex This post will share how to build an AI journal with the LlamaIndex. We will cover one essential function of this AI journal: asking for advice. We will start with the most basic implementation and iterate from there. We can see significant improvements for this function when…

  • Agentic GraphRAG for Commercial Contracts

    Agentic GraphRAG for Commercial Contracts In every business, legal contracts are foundational documents that define the relationships, obligations, and responsibilities between parties. Whether it’s a partnership agreement, an NDA, or a supplier contract, these documents often contain critical information that drives decision-making, risk management, and compliance. However, navigating and extracting insights from these contracts can…

  • Supercharge Your RAG with Multi-Agent Self-RAG

    Supercharge Your RAG with Multi-Agent Self-RAG Introduction Many of us might have tried to build a RAG application and noticed it falls significantly short of addressing real-life needs. Why is that? It’s because many real-world problems require multiple steps of information retrieval and reasoning. We need our agent to perform those as humans normally do,…

  • LangChain Meets Home Assistant: Unlock the Power of Generative AI in Your Smart Home

    LangChain Meets Home Assistant: Unlock the Power of Generative AI in Your Smart Home Learn how to create an agent that understands your home’s context, learns your preferences, and interacts with you and your home to accomplish activities you find valuable. Photo by Igor Omilaev on Unsplash Introduction This article describes the architecture and design of…

  • How to Build a General-Purpose LLM Agent

    How to Build a General-Purpose LLM Agent A Step-by-Step Guide High-level Overview of an LLM Agent. (Image by author) Why build a general-purpose agent? Because it’s an excellent tool to prototype your use cases and lays the groundwork for designing your own custom agentic architecture. Before we dive in, let’s quickly introduce LLM agents. Feel free…