# Generate diverse AI responses

Published articles for Generate diverse AI responses.

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## Ep. 2: Mastering LLM Integration with Go and Prediction Guard

DevFeed: [Ep. 2: Mastering LLM Integration with Go and Prediction Guard](<https://devfeed.tech/articles/ep-2-mastering-llm-integration-with-go-and-prediction-guard-22244.md>)

Original publisher: [Read original article](<https://www.ardanlabs.com/blog/2024/06/ep2-mastering-llm-integration-with-go-and-prediction-guard.html>)

Published: 2024-07-06T00:00:00Z

Content type: tutorial

Language: en

Sources: [William Kennedy](<https://devfeed.tech/sources/william-kennedy.md>)

Topics: [Go Language](<https://devfeed.tech/topics/go-language.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [API](<https://devfeed.tech/topics/api.md>), [Generative AI](<https://devfeed.tech/topics/generative-ai.md>)

Tags: [access-hosted-language-models](<https://devfeed.tech/tags/access-hosted-language-models.md>), [advanced-ai-capabilities](<https://devfeed.tech/tags/advanced-ai-capabilities.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-project-innovation](<https://devfeed.tech/tags/ai-project-innovation.md>), [ai-response-variability](<https://devfeed.tech/tags/ai-response-variability.md>), [ai-tools-for-developers](<https://devfeed.tech/tags/ai-tools-for-developers.md>), [api](<https://devfeed.tech/tags/api.md>), [configure-max-tokens-and-temperature](<https://devfeed.tech/tags/configure-max-tokens-and-temperature.md>), [customizing-ai-model-output](<https://devfeed.tech/tags/customizing-ai-model-output.md>), [effective-ai-prompts](<https://devfeed.tech/tags/effective-ai-prompts.md>), [episode-2-generative-ai](<https://devfeed.tech/tags/episode-2-generative-ai.md>), [fine-tuning-ai-responses](<https://devfeed.tech/tags/fine-tuning-ai-responses.md>), [generate-diverse-ai-responses](<https://devfeed.tech/tags/generate-diverse-ai-responses.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [generative-ai-tutorial](<https://devfeed.tech/tags/generative-ai-tutorial.md>), [go](<https://devfeed.tech/tags/go.md>), [go-client-for-prediction-guard](<https://devfeed.tech/tags/go-client-for-prediction-guard.md>), [go-client-setup-tutorial](<https://devfeed.tech/tags/go-client-setup-tutorial.md>), [go-developers-and-ai](<https://devfeed.tech/tags/go-developers-and-ai.md>), [go-programming-language-ai](<https://devfeed.tech/tags/go-programming-language-ai.md>), [hosted-ai-models-setup](<https://devfeed.tech/tags/hosted-ai-models-setup.md>), [integrate-llms-into-projects](<https://devfeed.tech/tags/integrate-llms-into-projects.md>), [intro-to-generative-ai-series](<https://devfeed.tech/tags/intro-to-generative-ai-series.md>), [learn-ai-with-go](<https://devfeed.tech/tags/learn-ai-with-go.md>), [leverage-large-language-models](<https://devfeed.tech/tags/leverage-large-language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [manage-ai-output-variability](<https://devfeed.tech/tags/manage-ai-output-variability.md>), [practical-ai-integration](<https://devfeed.tech/tags/practical-ai-integration.md>), [practical-ai-with-go-language](<https://devfeed.tech/tags/practical-ai-with-go-language.md>), [prediction-guard-api-tutorial](<https://devfeed.tech/tags/prediction-guard-api-tutorial.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>), [prompt-engineering-guide](<https://devfeed.tech/tags/prompt-engineering-guide.md>), [step-by-step-ai-tutorial](<https://devfeed.tech/tags/step-by-step-ai-tutorial.md>), [temperature-settings-in-ai](<https://devfeed.tech/tags/temperature-settings-in-ai.md>), [using-llms-with-go](<https://devfeed.tech/tags/using-llms-with-go.md>), [using-prediction-guard-api](<https://devfeed.tech/tags/using-prediction-guard-api.md>)

### AI overview

This episode explains how to integrate large language models into Go applications using the Go client for Prediction Guard. It covers connecting to hosted models, designing prompts, configuring max tokens and temperature, and managing variability in generated responses.

### Source excerpt

Introduction: Welcome to Episode 2 of our Intro to Generative AI series! In this segment, Daniel dives into the practical aspects of working with large language models (LLMs) using the Go programming language and the Prediction Guard API. Accessing LLMs: Learn how to set up and connect to hosted models using the Go client for Prediction Guard. Prompt Engineering: Discover how to create effective prompts and configure parameters like max tokens and temperature. Output Variability: Understand how to manage and utilize variability in AI responses for different results.