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Copland / Ives / Barber / Ehnes / Seattle Chamber: American Chamber Music - COMPACT DISCSTitle: American Chamber Music Artist: Copland Ives Barber Ehnes Seattle Chamber Label: Onyx Classics Product Type: COMPACT DISCS UPC: 880040412922 Genre: Classical Release Date: 2014 09 09 Number of Discs: 1 James Ehnes and friends from the Seattle Chamber Music Society hit the road on a fascinating journey through chamber music by some of the giants of 20th century American classical music. Aaron Copland's masterful Violin Sonata, Leonard Bernstein's
Title: American Chamber MusicArtist: Copland / Ives / Barber / Ehnes / Seattle Chamber
Label: Onyx Classics
Product Type: COMPACT DISCS
UPC: 880040412922
Genre: Classical
Release Date: 2014-09-09
Number of Discs: 1
James Ehnes and friends from the Seattle Chamber Music Society hit the road on a fascinating journey through chamber music by some of the giants of 20th-century American classical music. Aaron Copland's masterful Violin Sonata, Leonard Bernstein's youthful and vibrant Piano Trio, and Samuel Barber's B minor String Quartet with it's famous Adagio slow movement (known the world over as Barber's Adagio) are joined by Elliott Carter's haunting 'Elegy' from early in his long career, and the other-worldly 'Largo' by that great maverick Charles Ives.
Tracks:
1.1 Sonata for Violin and Piano: I. Andante Semplice James Ehnes, Orion Weiss
1.2 Sonata for Violin and Piano: II. Lento - James Ehnes, Orion Weiss
1.3 Sonata for Violin and Piano: III. Allegretto Giusto Adam Neiman, James Ehnes
1.4 Largo for Violin, Clarinet and Piano Anna Polonsky, James Ehnes
1.5 Trio for Violin, Cello and Piano: I. Adagio Non Troppo - Piu Mosso -Allegro Vivace Adam Neiman, Amit Peled, Erin Keefe
1.6 Trio for Violin, Cello and Piano: II. Tempo Di Marcia Adam Neiman, Amit Peled, Erin Keefe
1.7 Trio for Violin, Cello and Piano: III. Largo - Allegro Vivo Et Molto Ritmico James
1.8 Elegy for Viola and Piano Anna Polansky, Richard O'Neill
1.9 String Quartet in B minor, Op. 11: I. Molto Allegro E Appassionato Ehnes Quartet
1.10 String Quartet in B minor, Op. 11: II. Molto Adagio - Ehnes Quartet
1.11 String Quartet in B minor, Op. 11: III. Molto Allegro (Come Prima) Ehnes Quartet
Audio Sample:
All soundclips are provided by Tidal and are for illustrative purposes only. For some releases, the tracks listed may not accurately represent the tracks on the physical release.
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4.6 ★★★★★
Based on 26 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
★★★★★ 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
★★★★★ 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
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
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