<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-and-Llms on Jesus Oseguera</title><link>https://r0tbyt3.dev/tags/ai-and-llms/</link><description>Recent content in Ai-and-Llms on Jesus Oseguera</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://r0tbyt3.dev/tags/ai-and-llms/index.xml" rel="self" type="application/rss+xml"/><item><title>AI and LLMs</title><link>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/</guid><description>AI and LLMs AI and LLMs - integrating AI models and large language model capabilities into Python backend applications.
Ai in development Embeddings Function calling RAGs Structured outputs Related Links: Language Fundamentals Software Engineering</description></item><item><title>Ai in development</title><link>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/ai-in-development/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/ai-in-development/</guid><description>Ai in development AI in Development - using AI tools and LLMs to enhance developer workflows and productivity.
Related Links: Embeddings Function calling RAGs Structured outputs</description></item><item><title>Embeddings</title><link>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/embeddings/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/embeddings/</guid><description>Embeddings Embeddings - dense vector representations of data used for semantic search and AI tasks.
Related Links: Ai in development Function calling RAGs Structured outputs</description></item><item><title>Function calling</title><link>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/function-calling/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/function-calling/</guid><description>Function calling Function Calling - LLM capability to invoke predefined functions based on natural language input.
Related Links: Ai in development Embeddings RAGs Structured outputs</description></item><item><title>RAGs</title><link>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/rags/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/rags/</guid><description>RAGs RAGs - Retrieval-Augmented Generation combining knowledge retrieval with language model generation.
Related Links: Ai in development Embeddings Function calling Structured outputs</description></item><item><title>Structured outputs</title><link>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/structured-outputs/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://r0tbyt3.dev/wiki/content/backend-engineering/python/ai-and-llms/structured-outputs/</guid><description>Structured outputs Structured Outputs - LLM technique for generating output in specific schemas like JSON.
Related Links: Ai in development Embeddings Function calling RAGs</description></item></channel></rss>