SKU: 74481279741

Fretless: The Wrath of Riffson Steam (PC) - Steam CD Key - GLOBAL

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Fretless: The Wrath of Riffson Steam (PC) - Steam CD Key - GLOBALBuy Fretless: The Wrath of Riffson Steam (PC) Steam CD Key GLOBAL Play as Rob, a friendly musician trying to restore harmony in an off tuned world where wacky villains are corrupting music. Rick Riffson, boss of the evil Super Metal Records company, is using the Battle of the Bands contest to extend his hold on every last note, chord, and song by trapping the best musicians with deceptive soul binding contracts. Embark on an adventure with Rob and his

Buy Fretless: The Wrath of Riffson Steam (PC) - Steam CD Key - GLOBAL - Play as Rob, a friendly musician trying to restore harmony in an off-tuned world where wacky villains are corrupting music. Rick Riffson, boss of the evil Super Metal Records company, is using the Battle of the Bands contest to extend his hold on every last note, chord, and song by trapping the best musicians with deceptive soul-binding contracts. Embark on an adventure with Rob and his zany rock-loving friend to end SMR's plans. Stay alert during your journey: Riffson’s devilish goons, monster-instrument hybrids, and legendary musical animals will try to get in your way! Explore this musical land to add sick riffs to your deck, and wield your mighty guitar to unleash powerful crescendo attacks in epic music battles! Carefully composed by Ritual Studios, Fretless is a pixel-art adventure set in Rob Scallon and his friends' diverse musical rock world. GAME FEATURES Explore a musical world: discover whimsical biomes where flowers jingle, rocks really rock and beach waves have their own melody. Watch out for the percushrooms: they'll beat you up. Engage in musical turn-based combat: orchestrate melodies of mighty musical riffs to bit crush your foes. Plug your instrument, stay on the beat, and unleash powerful crescendo attacks! Fine-tune your strategy: Collect mighty riffs, add them to your deck, and compose the perfect bars to create unbeatable solos. Follow the beat of your own drum, whether it is high damage build, devastating musical effects, life-stealing combos, or even random chaos! Spice up your musical abilities with physical add-ons: Are you a metal-rock shredder or an indie-folk lover? Choose the best instrument and add bridges, strings, and more to match your own play styles. Band together for a wholesome ballad: embark on a story full of musical puns, zany characters, and Rob Scallon's coterie of music-loving friends Enjoy a hand-crafted Pixel Art symphony: progress through a visually enchanting world filled with gorgeous punchy animations and alluring scenery. Music is for everyone: from "simple" music enthusiasts to guitar gods, everyone can hit the right note at the right time! Whether you are already a fan of Rob or just looking for a fun lighthearted adventure, this game is made for you.
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SKU: 74481279741

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4.3 ★★★★★
Based on 26 reviews
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O
Om S
Lowell, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
New York, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Lexington, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
N
noam barkay
Phoenix, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Draper, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025

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