mythos pedal Mythos Pedals Herculean Deluxe Overdrive Effect Pedal
SKU: 70049717564
mythos pedal

mythos pedal Mythos Pedals Herculean Deluxe Overdrive Effect Pedal

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Description

mythos pedal Mythos Pedals Herculean Deluxe Overdrive Effect PedalBuilt in Nashville, TN by Zach Broyles and his team of tone hounds, Mythos is known for creating one of a kind effects that serve specific purposes. Their Herculean Overdrive Pedal is no exception: a fusion of two revolutionary drive circuits combine to offer a versatile overdrive experience. On the left flank lies the "Herculean" circuit, emulating high end amplifier saturation. The right wing hosts the "Runestone" circuit, drawing inspiration from

Built in Nashville, TN by Zach Broyles and his team of tone-hounds, Mythos is known for creating one-of-a-kind effects that serve specific purposes. Their Herculean Overdrive Pedal is no exception: a fusion of two revolutionary drive circuits combine to offer a versatile overdrive experience. On the left flank lies the "Herculean" circuit, emulating high-end amplifier saturation. The right wing hosts the "Runestone" circuit, drawing inspiration from legendary Bluesbreaker pedals but reimagined with unparalleled transparency and an extended range of tones.

Externally, the Herculean boasts an array of controls, including an order toggle switch that allows users to choose the direction of signal flow through its two circuits. Internally, a clipping switch offers a choice of transformative clipping options to redefine the character of each drive. Moreover, the Runestone circuit features an internal presence trimmer, allowing for fine-tuning of the high-end frequencies to harmonize with any amp or guitar configuration.

  • Combines Herculean and Runestone Drive Circuits
  • Runestone Circuit Inspired by Bluesbreaker Pedal
  • Offers Wide Range from Low Gain to Saturation
  • External Order Toggle Switch for Circuit Arrangement
  • Internal Clipping Switch for Tone Adjustment
  • Runestone Side Features Internal Presence Trimmer
  • Designed Based on Mythos Tastes and Community Feedback
  • Offers Strong Flexibility for Diverse Player Needs
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SKU: 70049717564

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4.5 ★★★★★
Based on 199 reviews
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S
Verified Purchase
Scott J. Pearson
Massapequa, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Birmingham, US
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
J
Verified Purchase
James Gianoglio
Waukegan, US
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
M
Verified Purchase
Matt B
Louisville, US
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
S
Verified Purchase
SR
Fort Morgan, US
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024

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