A technical cheatsheet for using Google's Gemini AI models with the LangChain framework, covering setup, chat models, prompt templates, and image inputs.
Explores three key methods to enhance LLM performance: fine-tuning, prompt engineering, and RAG, detailing their use cases and trade-offs.
A free, interactive course on GitHub teaching Generative AI concepts using JavaScript through a creative time-travel adventure narrative.
A developer shares how to use ChatGPT's 4o and o1 models to create a personalized daily AI assistant for cultural news and learning.
A guide to building AI applications using the LangChain framework, covering core concepts, installation, and practical examples.
A practical guide to writing effective AI prompts, debunking the complexity of prompt engineering and offering simple tips for better results.
Final notes from a book on LLM prompt engineering, covering evaluation frameworks, offline/online testing, and LLM-as-judge techniques.
A summary of Chapter 6 from 'Prompt Engineering for LLMs', covering prompt structure, document templates, and strategies for effective context inclusion.
A Google researcher's curated review of key AI research papers from 2024, covering LLMs, new architectures, agents, and security.
Explores a method using a 'Judging AI' (like o1-preview) to evaluate the performance of other AI models on tasks, relative to human capability.
Explores key prompt engineering techniques like zero-shot, few-shot, and chain-of-thought to improve generative AI outputs.
Practical lessons from integrating LLMs into a product, focusing on prompt design pitfalls like over-specification and handling null responses.
Explains core prompting fundamentals for effective LLM use, including mental models, role assignment, and practical workflow with examples.
A practical guide sharing lessons learned from a year of building real-world applications with Large Language Models (LLMs).
Analysis of LLM wrapper libraries like LangChain and Guardrails, examining their hidden prompts and API call efficiency for structured JSON output.
Explores strategies and Azure OpenAI features to mitigate inappropriate use and enhance safety in AI chatbot implementations.
A curated list of resources for learning Generative AI and Prompt Engineering, including guides, tutorials, and documentation from OpenAI, DeepLearning.AI, and Microsoft.
Learn how Amazon CodeWhisperer uses generative AI to convert natural language into SQL code, accelerating database development.
Learn best practices and tips for using Amazon CodeWhisperer, a generative AI coding companion, to accelerate software development.
The article distinguishes between interactive and transactional prompting, arguing that prompt engineering is most valuable for transactional, objective tasks with LLMs.
