Prompt Engineering

AI Generative AI Large Language Models

Prompt Engineering: How to Trick AI into Solving Your Problems

This video is from Shaw Talebi. This is the 4th video in a series on using large language models (LLMs) in practice. Here, I review Prompt Engineering, 7 prompting tricks, and walk through example code that uses LangChain to build an AI application.

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AI Data Driven

Danny Maloney on AI’s Leap to Marketing Mastery

In this episode, Danny Maloney is going to lead you on a journey to explore how artificial intelligence is not just a fleeting novelty but a tool of immense utility that’s changing the playing field for individuals and small businesses alike. Danny brings his passion for algorithmic innovation from his experiences as a data-loving youth […]

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AI Data Driven Generative AI Large Language Models

Jeremy Utley on Crafting Smarter Conversations with AI

In this the 356th episode of the Data Driven podcast, I spoke with Jeremey Utley on Getting the Most out of LLMs. Jeremy Utley, a celebrated figure from Stanford, highlighted the transformative nature of AI tools like ChatGPT and shared the innovative FIXIT approach to amplify the use of AI in daily operations. The FIXIT […]

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AI Generative AI Large Language Models

Unlocking the Power of Claude AI: A Guide to Proper Prompting

AI Matt says that we’re prompting Claude AI wrong! The system actually gives much better responses if you use this style of prompting instead of your standard prompting for other Chatbot searches such as ChatGPT.

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AI Generative AI Google Large Language Models

Gemini 5 Pro Demo: Tackling 100,633 Lines of Code with Problem-Solving Skills

This is a demo from Google of long context understanding, an experimental feature in our newest model, Gemini 1.5 Pro using 100,633 lines of code and a series of multimodal prompts. Token count details: The input TXT file (816,511 tokens) and image (256 tokens) total 816,767 tokens. The text inputs add additional tokens into the […]

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AI Generative AI Large Language Models Prompt Engineering

Maximizing Your ChatGPT Experience: Tips and Tricks

In this video from Jeff Su, we dive into the top 5 mistakes users make with ChatGPT and offer practical solutions to use this #generativeAI chatbot more effectively. From over-specific custom instructions to underutilizing ChatGPT for automation and beyond, we uncover common pitfalls and how to avoid them. Whether you’re a tech enthusiast, a productivity […]

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AI Generative AI Large Language Models Prompt Engineering

Introduction To ChatGPT and Prompt Engineering Faculty Workshop

This workshop is from Vanderbilt Data Science. This workshop will introduce faculty to ChatGPT and its computational capabilities that can be used in teaching, research, and personal productivity. The workshop will provide an initial overview of “prompt engineering”, which is the discipline of crafting the statements, called prompts, that are sent to ChatGPT. Approximately half […]

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AI Large Language Models Livestream

The Magic of Prompt Engineering

This video is from FranksWorldTV. .

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AI Large Language Models

Armchair Architects: LLMs & Vector Databases (Part 2)

In this episode of the Azure Enablement Show, Uli, Eric and David continue their discussion of vector databases and LLMS, including when to use prompt engineering, and the importance of fine-tuning your data. Uli suggests that there are two things that LLMs aren’t good at, then offers tips on workarounds. The conversation wraps up with […]

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AI Generative AI Large Language Models Research

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution (Paper Explained)

This video is from Yannic Kilcher. Promptbreeder is a self-improving self-referential system for automated prompt engineering. Give it a task description and a dataset, and it will automatically come up with appropriate prompts for the task. This is achieved by an evolutionary algorithm where not only the prompts, but also the mutation-prompts are improved over […]

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