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.
Evaluating complex datasets—whether textual, numerical, or multimodal—is a challenge in data science. Many evaluation metrics and human-annotation methods struggle to capture subtle quality issues, contextual relationships, or emerging patterns within large-scale and heterogeneous data. As a result, organizations often rely on time-consuming manual checks or oversimplified metrics that
Mistral and Meta have both staked their claims to open-source AI development, each pushing the boundaries of accessibility, scalability, and performance in large language models. The latest models in their respective lineups, Mistral Large 2 and Llama 3.1, are prime examples of this ambition, offering great alternatives to closed-source
Meta has consistently pushed the envelope in open-source AI development, with a focus on making powerful LLMs more accessible, scalable, and efficient. The Llama series is Meta's frontier LLM that offers an open alternative to proprietary models. With the introduction of Llama 3.1, Meta has built on
I recently recorded a podcast with Dan Shipper on Every. We covered a lot, but most interestingly spoke a lot about prompt engineering from first principles. Figured I would out all the highlights in blog form. The reports of prompt engineering's demise have been greatly exaggerated. The Three
What is an LLM (Large Language Model)? A Large Language Model (LLM) is an advanced AI system trained to understand and generate human-like text based on large datasets. Understanding LLM architecture is crucial for creating efficient, scalable, and task-specific AI applications that meet user needs effectively. LLM architecture diagrams for
It’s been almost three months since OpenAI announced its groundbreaking o1 series, featuring the o1 preview and o1 mini models. These two models represent a leap forward in specialized reasoning and problem-solving, each designed with a specific set of use cases in mind. The o1 preview excels in deep
Large Language Model (LLM) agents have rapidly evolved, becoming one of the hot topics in the tech industry. Initially designed for natural language processing tasks, LLMs can now serve as autonomous agents capable of complex decision-making and task execution. In this guide, we’ll explore the basics of LLM Agents,
Table of contents: 1. What is Claude 3.5? 2. What is GPT 4o? 3. Claude 3.5 vs GPT 4o Benchmark Comparison 4. Claude 3.5 vs GPT-4o Cost Comparison 5. Choosing Claude 3.5 or GPT-4o Anthropic and OpenAI are once again going head-to-head with the release of
Table of contents: 1. What is Llama 3? 2. What is GPT 4? 3. Comparing Llama 3 and GPT-4 4. Llama 3 vs GPT 4 Cost Comparison 5. Llama 3 Opus vs GPT-4 Overall Comparison 6. Key Differences Between Llama 3 and GPT-4 7. Choosing Llama 3 or GPT-4 OpenAI
Large language models (LLMs) are powerful tools capable of solving a wide range of complex problems. However, they come at a cost. The good news? Implementing advanced strategies like input optimization, modular prompt engineering, and strategic caching can significantly lower costs without compromising performance. Whether you're a business
Has Claude 3.5 Opus been released? As of December 9, 2024, Claude 3.5 Opus has not been released. Anthropic's co-founder, Dario Amodei, confirmed in a recent interview that the model is in development, with plans for release in the near future. In his interview, Amodei detailed
MythoMax-L2-13B represents the latest and best model specifically tailored around roleplaying and storytelling. This article explores the features, practical applications, and technical capabilities that make MythoMax-L2-13B prominent in the AI industry. Technical Innovation The genius of MythoMax-L2-13B, which is built on Llama 2, lies in its architecture. Each layer comprises
1. What is Gemini 1.5 Pro? 2. What is ChatGPT-4o? 3. Gemini 1.5 Pro vs ChatGPT 4o Benchmark Comparison 4. Gemini 1.5 Pro and ChatGPT 4o Cost Comparison 5. Gemini 1.5 Pro vs ChatGPT 4o Overall Comparison 6. Key Differences between Gemini 1.5 Pro and
Table of contents: 1. What is Gemini 1.5 Flash? 2. What is Gemini 1.5 Pro? 3. Gemini 1.5 Flash vs 1.5 Pro Benchmark Comparison 4. Gemini 1.5 Flash vs 1.5 Pro Cost Comparison 5. Gemini 1.5 Flash vs 1.5 Pro Overall Comparison
Table of contents: 1. What is ChatGPT? 2. What is Gemini? 3. What is Claude? 4. Comparing ChatGPT vs Gemini vs Claude 5. Summary The three top AI labs in the world each have their own chatbot showcasing their frontier models. Those three are OpenAI's ChatGPT, Google'
Model General (MMLU) Code (HumanEval) Math (MATH) Reasoning (GPQA) Multilingual (MGSM) Tool Use (BFCL) Grade School Math (GSM8K) Claude 3.5 Sonnet 88.3% 92.0% 71.1% 59.4% 91.6% 90.2% 96.4% GPT-4o 88.7% 90.2% 76.6% 53.6% 90.5% 83.6% 96.
Table of contents: 1. What is Claude 3 Opus? 2. What is GPT-4? 3. Benchmark comparison: Claude 3 Opus vs GPT-4 4. Cost Comparison: Claude 3 Opus vs GPT-4 5. Overall Comparison: Claude 3 Opus vs GPT-4 6. Key Differences: Claude 3 Opus vs GPT-4 7. Choosing Claude 3 Opus
In his landmark paper 'A Mathematical Theory of Communication,' Claude Shannon laid the foundation of information theory. In this seminal work, Shannon described the concept of information entropy. Information entropy is the idea that we can measure how much content is in a signal. Shannon then goes on