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Making GenAI more cost-efficient and accessible with open-source LLMs

Open-source large language models (LLMs) have improved significantly in the past twelve months in terms of performance, developer experience, and community support. Does this mean they can offer a more cost-efficient, flexible, and secure alternative to commercial cloud platforms? Let’s explore what advantages can make open-source LLMs a viable solution

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From a PoC to a robust MVP with LLMs

Introduction Welcome to the second part of rapid application development using LLMs, specifically the LLM from Vertex AI. If you missed the first part where we laid the groundwork, I’d suggest giving it a look for a step-by-step walkthrough. READ PART 1 Now that we have successfully built a PoC

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Accelerating app development with LLMs

Introduction Large language models (LLMs) are rapidly transforming the software development landscape, offering unprecedented capabilities for generating code, translating languages, composing various creative text formats, and answering your questions in an informative way. However, effectively integrating LLMs into the software development process can be challenging. This article provides a practical guide

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