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JsonOutput Parser

As seen in: DEV Community, Analytics Vidhya
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Articles

How to run Llama model locally on MacBook Pro and Function calling in LLM -Llama web search agent breakdown

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By StrOutput Parser, JsonOutput Parser, Increases Biodiversity
| DEV Community
Easily install Open source Large Language Models (LLM) locally on your Mac with Ollama.On a basic M1 Pro Macbook with 16GB memory, this configuration takes approximately 10 to 15 minutes to get going. The model itself starts up in less than ten seconds after the setup is finished. Go to >> https://ollama.com/download/mac and download the software for your OS 2.Open the Ollama application and Move to Applications 3.
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Building an agentic AI workflow with Llama 3 open-source LLM using LangGraph

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By Import Os, Fiber Optic, JsonOutput Parser
| DEV Community
We have a database of a fictional telco company providing home phone and internet services to customers in California. We want to build an AI system capable of analizing the data and answering users' questions about customers, services, and billing. We will design an agentic AI workflow to plan the data retrieval, generate SQL queries, execute the queries, and generate human-readable responses. What Are Agentic AI Workflows?
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How to Enhance RAG Performance with CRAG?

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By Sunil Kumar Dash, StrOutput Parser, JsonOutput Parser
| Analytics Vidhya
In this article we will learn to enhance RAG performance with CRAG. The word RAG has been floating around for a while and for all the good reasons. Large language models made it possible to build solutions for problems that were difficult before. Question and Answering over large amounts of data was one such problem. But now, it is possible. Thanks to LLMs, AI frameworks, and other tools such as vector databases.
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