The Overuse of "Agents" in AI - Why It's Time for a Reality Check
"Agent" has become the buzzword in AI, but is it hindering innovation? Discover why focusing on prompt engineering and workflow customization is the real game-changer in AI.
Prompt Engineering & AI tutorials & Resources
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01.
Complete Guide to Prompt Engineering with Temperature and Top-p
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Functional Inference Synthesis: The Future of Development & Prompt Engineering
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Query/Prompt Reformulation is Magic
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The Reverse Prompt Engineering Bottleneck: Can You Find the Question When You Already Have the Answer?
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A Framework for Building Digital Doppelgängers with AI
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Challenges and Innovations in Language Model Benchmarking and Generalization
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Integrating Large Language Models for Dynamic Heuristic Generation
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Enhancing Emotional Intelligence in Conversational AI: The EI Graph for LLMs
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Beyond Memorization Machines: How Prompt Engineering Unleashes the True Power of LLMs
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Is RAG Falling Short? Rethinking Retrieval-Augmented Generation for Large Language Models
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01.
The Overuse of "Agents" in AI - Why It's Time for a Reality Check
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02.
Functional Inference Synthesis: The Future of Development & Prompt Engineering
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03.
What are Agentic Networks?
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When Will AI Agents Actually Solve Hard Problems for Companies?
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05.
Multi-Agentic Workflow Design using GAINs and HCINs
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01.
Complete Guide to Prompt Engineering with Temperature and Top-p
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02.
Functional Inference Synthesis: The Future of Development & Prompt Engineering
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03.
A Brief Guide to Retrieval-Augmented Generation (RAG) & LLMs
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Building a Robust Prompt Library for Effective Task Execution
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Getting Started with Few-Shot Prompting
Latest posts
Complete Guide to Prompt Engineering with Temperature and Top-p
This is THE definitive guide on using Temperature and Top-p with modern LLMs.
Challenges and Innovations in Language Model Benchmarking and Generalization
Explore the critical flaws in current AI language model benchmarks, the impact of overfitting, and emerging techniques like grokking that promise to improve generalization and reasoning capabilities in next-generation AI systems.
Prompt Engineering with The 5C Framework
Overview The 5C Framework for prompt engineering is designed to guide users in crafting effective prompts that optimize AI model responses. It consists of five key components: Clarity, Contextualization, Command, Chaining, and Continuous Refinement. This framework helps in systematically approaching
The Evolution of AI - From Rule-Based Systems to Generative Models
AI is more than a trend. It has a fascinating history, from its early 20th-century foundations to today's advanced generative models. Understand the evolution through key stages: rule-based AI, predictive AI, and generative AI, with practical examples of each.
Prompt Engineering Institute Member GOLD tier
Zero-Shot Prompting: A Powerful Technique for LLMs
A look at zero-shot prompting, a technique that enables large language models to perform tasks without explicit training data. Explore its benefits, limitations, best practices, and real-world applications.
Prompt Engineering Institute Member GOLD tier
Prompt Engineering Institute Member GOLD tier
Creating a Tone of Voice Guideline Framework & Prompt Library
Craft a robust Tone of Voice (TOV) guideline for consistent brand communication. This framework covers brand analysis, audience segmentation, tone attributes, and contextual adjustments. Ideal for marketers and brand managers seeking clarity and impact.
Tiered Ecosystems of Information - Where to Find the Juiciest Customer Insights
Tired of sifting through the internet's bargain bin for customer insights? We've ranked the best sources from high-volume giants to niche-market gems, so you can get the intel you need, stat.
Prompt Engineering Institute Member GOLD tier
Functional Inference Synthesis: The Future of Development & Prompt Engineering
Functional Inference Synthesis, Functional LLMs, and Generative AI Networks (GAINs) are revolutionising application development and deployment, offering unprecedented efficiency and adaptability.