# Go programming with AI Published articles for Go programming with AI. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Ep. 3: Proper Prompt Formatting for Enhanced AI Model Performance DevFeed: [Ep. 3: Proper Prompt Formatting for Enhanced AI Model Performance]() Original publisher: [Read original article]() Published: 2024-07-25T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Generative AI](), [AI Models](), [API](), [Streaming](), [Go Language]() Tags: [ai-generated-responses](), [ai-integration-techniques](), [ai-interaction-best-practices](), [ai-models](), [ai-prompt-formatting](), [ai-response-quality](), [api](), [api-convenience-for-ai](), [chat-completions-endpoints](), [dynamic-ai-user-experience](), [enhancing-ai-model-performance](), [generative-ai-series](), [go](), [go-programming-with-ai](), [optimizing-ai-prompts](), [prompt](), [proper-prompt-formatting](), [real-time-ai-interactions](), [server-sent-events-sse](), [streaming]() ### AI overview This episode explains how structured prompt formats can improve AI model responses, how chat completion APIs simplify prompt construction, and how server-sent events enable incremental response streaming. Examples use the Hermes model and Go. ### Source excerpt Introduction: Welcome to Episode 3 of our Intro to Generative AI series! In this episode, Daniel explores the critical aspect of prompt formatting when working with AI models, emphasizing how proper formatting can significantly enhance the quality of the AI's responses and overall performance. Prompt Formatting: Learn the importance of using specific prompt formats for AI models to enhance response quality. API Convenience: Discover how chat completions endpoints simplify prompt formatting and improve integration. Response Streaming: Understand how to handle real-time, partial completions using server-sent events (SSE) for dynamic AI interactions. ## Ep. 1: Enhancing Your Go Projects with Generative AI: Exploring LLMs DevFeed: [Ep. 1: Enhancing Your Go Projects with Generative AI: Exploring LLMs]() Original publisher: [Read original article]() Published: 2024-06-20T00:00:00Z Content type: tutorial Language: en Sources: [William Kennedy]() Topics: [Go Language](), [Large Language Model](), [Generative AI](), [AI-assisted coding](), [llama](), [Code]() Tags: [ai-driven-text-based-tasks](), [ai-enhanced-go-workflows](), [ai-for-autocomplete](), [ai-for-code-translation](), [ai-for-customer-service-automation](), [ai-for-document-summarization](), [ai-for-interactive-applications](), [ai-for-sql-query-generation](), [ai-generated-code-completions](), [ai-in-customer-support](), [ai-in-programming](), [code-generation](), [code-generation-with-ai](), [codium-ai-integration](), [daniel-s-ai-tutorial-series](), [enhancing-coding-efficiency-with-ai](), [generate](), [generative-ai](), [generative-ai-for-developers](), [generative-ai-in-go-projects](), [github-copilot-alternatives](), [go](), [go-programming-with-ai](), [go-projects](), [harnessing-ai-in-go-programming](), [integrating-llms-in-go](), [intro-to-generative-ai-series](), [large-language-models-llms](), [llama-3-model](), [llms](), [llms-architecture-and-functionality](), [llms-in-code-editors](), [practical-applications-of-llms](), [predictive-text-ai-models](), [text-generation-with-ai](), [understanding-llms]() ### AI overview The first episode of an introductory series explains how large language models such as Llama 3 work and how developers can integrate them into Go projects. It covers text generation, autocomplete, code generation, customer service automation, SQL generation, code translation, and document summarization. ### Source excerpt Introduction: Welcome to the first episode of our "Intro to Generative A.I" series! In this episode, Daniel dives into the intriguing world of large language models (LLMs), providing a comprehensive understanding of how these powerful tools work and their practical applications. Gain insights into the architecture and functionality of large language models like Llama 3, and how they process and generate language-based responses. Learn how these models can be integrated into Go projects, enhancing capabilities like autocomplete, code generation, and more through practical examples and demonstrations.