Traditional regression models like linear regression and random forest are tried and true. We know how they work and they're easy to audit. Not always so with large language models (LLMs) like Chat GPT, Claude, or Gemini, though that certainly hasn't stopped anyone from using them,
AI agents are reshaping technology by automating tasks and offering intelligent solutions across industries like healthcare, finance, manufacturing, and more. These systems are becoming integral to modern workflows due to their ability to analyze data, make decisions, and enhance efficiency. This article outlines key concepts, practical steps for building AI
What is Grok 2? Grok 2, developed by xAI, is a frontier LLM available in the same ways as GPT-4o, Claude 3.5, and Gemini 1.5. Grok 2 is accessible through multiple platforms. You can access Grok on x.com, grok.com, via API, or through their standalone app
Has Gemini 3 been released? As of January 2025, Gemini 3 has not been released. In fact, it hasn't even been announced. Gemini Ultra 1.0 was released to the public in December 2023. Google quickly followed up with Gemini 1.5 in February 2024. Since then, Google
System prompts play a crucial role in setting the overall context and behavior of AI interactions. They act as guidelines, shaping the AI's responses in alignment with specific goals or characteristics. This article explores some of the best tools available for creating system prompts, providing a detailed analysis
Prompt versioning tools allow you to manage and optimize Large Language Model (LLM) applications by tracking changes, experimenting with prompt versions, and collaborate effectively for improved performance. They streamline workflows by automating modifications, facilitating A/B testing, and reducing the need for manual tracking, ultimately saving time and resources. We&
What is chain-of-thought and why do I need it? Raise your hand if you’ve ever been personally victimized by a math class. Showing your work, writing a proof. It can be tough, right? But it’s also a great way to make sure you really understand a concept, and
AI agents are no longer a futuristic concept; they’re transforming the way we live and work right now. These autonomous systems navigate complex environments, learn from data, and make decisions that once required human oversight. As industries race to integrate these capabilities, the demand for skilled developers is surging.
As language models evolve, their context windows keep getting longer and longer. This evolution is challenging our assumptions about how we should feed information to these models. Enter Cache-Augmented Generation (CAG), a new approach that's making waves in the AI community. What is CAG? Cache-Augmented Generation loads all
I have a confession: I talk to robots. A lot. Not the shiny, sci-fi kind (though I wouldn't say no), but the digital minds behind the chatbots, the writing assistants, the AIs that are weaving themselves into the fabric of our daily lives. And for a long time,
The world is generating data at an unprecedented pace—everything from user-generated content on social media to massive knowledge bases and product catalogs. The fundamental challenge remains the same: How can we efficiently find exactly what we need from these massive amounts of information? Traditional search techniques, such as Boolean
It’s been half a year since OpenAI announced its groundbreaking o1 series, featuring the o1 preview and o1 mini models. These models were a large leap forward in specialized reasoning and problem-solving, each designed with a specific set of use cases in mind. In December, OpenAI released the full
Recent research suggests that modern AI language models, particularly reasoning-focused LLMs like o1, often engage in excessive computation. Here's what this means for prompt engineering and how you can optimize your AI interactions. The Overthinking Problem Consider this striking example: when asked to solve a simple "2+
Has OpenAI o3 been released? As of January 3, 2025, OpenAI 03 has not been released. OpenAI is making 03 available for public safety testing. You can apply on their website to get early access and help them test the model. They plan to launch 03 mini around the end
The o1 model family, developed by OpenAI, represents a significant advancement in AI reasoning capabilities. These models are specifically designed to excel at complex problem-solving tasks, from mathematical reasoning to coding challenges. What makes o1 particularly interesting is its ability to break down problems systematically and explore multiple solution paths—
Text summarization is an essential tool for efficiently digesting information.. Whether you’re a student, researcher, content creator, or business professional, summarizing large volumes of text can save time and clarify complex ideas. But how do you make AI tools like ChatGPT or Claude deliver the best prompts for text
Table of contents: * What Are AI Summary Prompts? * Five Types of Effective Summary Prompts * Best prompts asking for a summary | Six Examples * Avoiding Common Mistakes in AI Summarization * Evaluating Your AI-Generated Summaries * Tips for Combining AI with Your Unique Voice Summarization is a key skill in our information-dense world, and
Table of Contents: 1. What are Agentic Workflows? 2. Key Features of Agentic Workflow Builders 3. Top Agentic Workflow Builders 4. Top AI Agent Workflow Builder Comparisons 5. Use Cases and Applications of Agentic Workflows Large language models (LLMs) are transforming how we interact with computers and information. Agentic workflows
Large language models (LLMs) are increasingly interacting with external tools and generating structured outputs. This shift requires a robust method for defining and validating the data exchanged between the LLM, the tool, and the user. JSON Schema provides a standardized way to describe and enforce the structure of data passed
The rapid evolution of artificial intelligence (AI) has brought forth a new and exciting field: prompt engineering. As large language models (LLMs) become increasingly sophisticated, the ability to effectively communicate with them is paramount. This article provides a comprehensive overview of prompt engineering, covering what it is, why it'
![AI Prompts for Summarizing Long Reports Quickly [TEMPLATES]](/content/images/size/w600/2024/12/How-a-Prompt-Engineering-Tool-Improves-AI-Model-Performance--36-.png)
Table of contents: * How to Use Claude to Summarize Reports * How to Use ChatGPT to Summarize Reports * How to Use Gemini to Summarize Reports * Prompt Templates for Summarizing Reports * Types of Reports and Summarization Approaches Using AI Summarizing long reports takes a lot of time and energy. Luckily, artificial intelligence
Table of contents: * What is an Assistant Prompt? * What is a Tool / Function Prompt? * Assistant Prompt vs. Tool / Function Prompt: Key Differences In artificial intelligence (AI), the ability to communicate clearly with applications is important to fully leverage an LLM's capabilities. Prompt engineering is an important skill that
ChatGPT, developed by OpenAI, has changed how we work with its ability to generate human-like text. Beyond the hype, ChatGPT offers many practical applications for professionals. We've researched and broken down the top 5 compelling use cases that demonstrate how ChatGPT can increase productivity, enhance creativity, and streamline
Table of contents: * What is a System Prompt? * What is a User Prompt? * Examples of System and User Prompts * System and User Prompt Best Practices * System Prompts in Applications In artificial intelligence (AI), the ability to communicate clearly with applications is important to fully leverage an LLM's capabilities.