Jonathan Pedoeem

268 posts

How to become a Prompt Engineer: Full Guide

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]

Table of contents for AI teams building LLM-powered applications: * 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

Assistant vs Tool / Function Prompt: A Comprehensive Guide

Table of contents for AI teams: * 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

Top 5 ChatGPT Use Cases for Professionals

ChatGPT, developed by OpenAI, has reshaped how teams draft, reason, and build with natural-language interfaces. Beyond the hype, ChatGPT offers practical applications for developers, AI engineers, and organizations shipping LLM-powered workflows. We've researched and broken down the top 5 compelling use cases that demonstrate how ChatGPT

Using Multi-Agent Frameworks for Enhanced Data Evaluation

Evaluating complex datasets—whether textual, numerical, or multimodal—remains a core challenge for teams building and shipping LLM-powered applications, agents, and AI workflows. 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

Open Source LLM Comparison: Mistral vs Llama 3

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. Prominent releases in their respective lineups, Mistral Large 2 and Llama 3.1 are prime examples of this ambition, offering more open alternatives to

Meta Model Analysis: Llama 3 vs 3.1

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

All you need to know about prompt engineering

I recently recorded a podcast with Dan Shipper on Every. We covered a lot of ground, but the most useful thread was 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

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