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Prompt Engineering Institute

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What are Agentic Networks? Featured Post

Agentic Networks: Collaborative AI systems where multiple agents dynamically interact and share resources to perform complex tasks with centralized coordination and real-time adaptability.

What are Agentic Networks?

Overviews

In this article I want to introduce the concepts of Agentic Networks. While the concept is not ground breaking, reference Generative AI Networks (GAINS) and Hierarchical Collective Intelligence Networks (HCIN), I think as the use of multiple agents evolves we need to attach a name to this concept.

Generative AI Networks (GAINs)
GAIN is a Prompt Engineering technique to solve complex challenges beyond the capabilities of single agents.
Hierarchical Collective Intelligence Networks (HCIN)
Beyond the limits of solitary intelligence, a new frontier is emerging in AI - one powered not by individual models,
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Framework for Developing Natural Language to SQL (NL to SQL) Technology

Enhance NL to SQL systems with a detailed framework covering user needs, data collection, model development, query handling, advanced techniques, UI design, and continuous evaluation for improved performance and user satisfaction.

Framework for Developing Natural Language to SQL (NL to SQL) Technology

To develop a robust NL to SQL system, it's essential to create a structured framework that addresses the complexities and requirements of converting natural language queries into SQL commands. Here’s a detailed framework:

1. Understanding User Needs and Use Cases

Objective: Identify and prioritize primary use cases to ensure the NL to SQL system meets user requirements.

  • User Research: Conduct surveys and interviews to understand the types of queries users will make and their technical proficiency.
  • Use Case Identification: Pinpoint common and critical use cases across various industries and departments.
  • Scenario Development: Create user
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When Will AI Agents Actually Solve Hard Problems for Companies?

Explore the future of AI agents in industry, their current capabilities, and the challenges ahead. Discover when AI agents will truly solve hard problems for companies.

When Will AI Agents Actually Solve Hard Problems for Companies?

We get asked this so many times and here is our answer.

Artificial Intelligence (AI) agents are making headlines, but when will they truly revolutionize industries by solving hard problems? Here's an in-depth look at the current landscape and future potential of AI agents in business.


1. Current State of AI Agents

AI agents have come a long way, from simple chatbots to sophisticated systems capable of understanding and processing natural language, making predictions, and even driving cars. The progress in AI research and development has been phenomenal, leading to advanced models like GPT-4, which can perform

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AI Revolution: LinkedIn Survey Reveals How AI is Reshaping the Global Workforce

Explore the 2024 Work Trend Index Annual Report by Microsoft and LinkedIn, uncovering how AI is revolutionizing the workplace. Learn about AI adoption, workplace challenges, and the future of work. Discover what these trends mean for businesses, enterprises, and individuals.

AI Revolution: LinkedIn Survey Reveals How AI is Reshaping the Global Workforce

Overview of the 2024 Work Trend Index Annual Report

The 2024 Work Trend Index Annual Report, a collaborative effort by Microsoft and LinkedIn, offers an exhaustive analysis of how Artificial Intelligence (AI) is redefining the modern workplace. This comprehensive report draws from a global survey of 31,000 individuals across 31 countries, supplemented by an in-depth examination of labour and hiring trends from LinkedIn, and an analysis of trillions of productivity signals from Microsoft 365.

The findings provide a crucial blueprint for organizations aiming to leverage AI for business transformation and competitive advantage.

AI at Work Is Here. Now
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Multi-Agentic Workflow Design using GAINs and HCINs

Explore our innovative framework Designed for robustness, scalability, and intelligent multi-agent collaboration, it enhances usability and operational efficiency in deploying language models.

Multi-Agentic Workflow Design using GAINs and HCINs

GAINs and HCINs give you two shapes for a multi-agent workflow: the flat network and the tiered one. This is a practical guide to designing with them, updated against the contemporary, verified evidence — including the most important rule, which is knowing when not to build a network at all.

Step 0 — Should this be a network?

Start here, because the seductive failure is reaching for agents because it sounds powerful. A network multiplies token cost by roughly an order of magnitude and adds a failure surface at every seam; the largest study of multi-agent failures (MAST) found high

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OpenAI Democratizes AI by Providing Free GPT-4 Access to All ChatGPT Users

OpenAI has made a groundbreaking decision to provide free access to its highly advanced GPT-4 language model for all ChatGPT users. This move is set to democratize AI, accelerate innovation, and revolutionize education, research, and various industries.

OpenAI Democratizes AI by Providing Free GPT-4 Access to All ChatGPT Users

Introduction

OpenAI has announced today that it will provide free access to its highly advanced GPT-4 language model for all ChatGPT users. This decision marks a significant milestone in the democratization of artificial intelligence (AI) and is set to have far-reaching implications for AI adoption and innovation across various domains.

OpenAI's announcement of free GPT-4 access for ChatGPT users

OpenAI, the leading AI research laboratory, has taken a bold step forward by making its state-of-the-art GPT-4o language model available to all ChatGPT users at no cost. GPT-4, which represents a significant

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