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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

From a PoC to a robust MVP with LLMs

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.

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

From a PoC to a robust MVP with LLMs

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.

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.
This article provides a practical guide for rapid app development using LLMs from Vertex AI, covering the entire process from idea to production.