
Aprenda técnicas de engenharia de prompts para otimizar modelos de linguagem, equilibrando inteligência e segurança. Exercícios práticos para dominar habilidades essenciais na interação com LLMs.

Discover 26 key principles for optimizing LLaMA 2 and ChatGPT responses, covering prompt structuring, task breakdown, and performance improvement techniques for AI projects.

Explore prompt engineering for clinical AI applications with Dr Keith Grimes in this insightful talk and demonstration for healthcare professionals.

Comprehensive tutorial on downloading and comparing 160+ top Stable Diffusion 1.5 models, with detailed analysis of their performance, capabilities, and output quality across various prompts and resolutions.

Learn to effectively use AI for daily tasks and build amazing apps, covering basics to advanced topics like prompt engineering, GPU usage, and app development.

Comprehensive guide to Leonardo AI: master image generation, prompt writing, upscaling, motion images, and real-time canvas. Unlock creative potential with hands-on techniques and expert tips.

Explore the creation of a self-correcting AI coding agent using Claude 3 Opus API and ChatGPT, with a focus on effective prompting techniques and practical testing.

Explore GenAI, vector embeddings, and LangChain.js to build custom chatbots and search interfaces using website content and transcripts for personalized AI interactions.

Learn to create efficient chatbots using LangChain Framework. Explore LLM fundamentals, effective prompting, and the RAG approach to enhance automation and simplify complex processes.

Explore Stable Diffusion 3's capabilities in image generation, from complex prompts to natural language inputs, covering various applications like UI design, photography, and architecture visualization.

Explore latest AI advancements: KANs, Gemma's 10M context window, automatic prompt engineering, consistency in LLMs, tokenizer comparisons, and evaluation techniques. Stay updated on cutting-edge developments in language models.

Explore latest AI developments: xAI funding, Codestral, LLM guide, AutoGen, and Symbolic Chain-of-Thought. Gain insights on cutting-edge research, tools, and applications in machine learning and natural language processing.

Learn to create an AI coding assistant using Vision GPT, exploring its capabilities in understanding text and visuals for enhanced code development. Includes live demo of building a Streamlit app.

Learn to build and evaluate RAG applications using AIConfig in VS Code. Transform your editor into a prompt IDE for efficient AI development, testing, and optimization.

Explore effective prompt design for Large Language Models, focusing on reducing uncertainties and achieving desired outputs through creative and meticulous techniques. Includes live prompt writing with audience input.

Explore practical applications of generative AI in app development. Learn about Large Language Models, prompt engineering, and real-world examples of integrating AI into customer support applications.

Explore poisoning attacks on text-to-image models, focusing on the Nightshade technique's ability to manipulate AI-generated images through targeted data manipulation.

Explore Snowflake's open approach to generative AI research, including tools, practices, and recipes for training LLMs. Learn about use cases in prompting, retrieval, and presentation.

Learn to create agentic behavior using LLM APIs, text-to-speech, and customizable prompts in this beginner-friendly AI engineering project. Explore practical implementation and testing.

Explore adapting platforms for AI applications, focusing on LLM integration, golden paths, and production-grade capabilities. Learn to build an AI-ready platform and implement a composer AI assistant.

Explore prompt engineering principles and ChatGPT's potential theory of mind through practical examples, enhancing AI interactions for business and creative applications.