SKU: 85153974502

Fromm Four-Star Game Bird Recipe Dry Dog Food

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Description

Fromm Four-Star Game Bird Recipe Dry Dog FoodA grain free entre with turkey, turkey broth, goose, and an assortment of fruits & vegetables Recipe Features High Quality Turkey Very digestible and highly palatable source of protein that provides an excellent source of essential amino acids and nutrients. Nutrient Rich Fruits & Vegetables Excellent sources of vitamins, minerals, antioxidants, and fiber that can help support digestion, the immune system, and metabolic function. Added Probiotics for

A grain-free entrée with turkey, turkey broth, goose, and an assortment of fruits & vegetables


Recipe Features


High Quality Turkey

Very digestible and highly palatable source of protein that provides an excellent source of essential amino acids and nutrients.


Nutrient-Rich Fruits & Vegetables

Excellent sources of vitamins, minerals, antioxidants, and fiber that can help support digestion, the immune system, and metabolic function.


Added Probiotics for Digestive Regularity

Probiotics can help support intestinal health by regulating and balancing gut microbiota, supporting immune system function, and enhancing nutrient metabolism.


Suitable for All Dog Breeds & Ages

Wholesome and delicious food that is carefully crafted for dogs of all breeds and ages, from Great Danes to Chihuahuas, puppies to seniors, and every breed and stage in-between.


Interchangeable Recipe

You may feed our Four-Star recipes interchangeably so mealtime is unique every day of the week.


INGREDIENTS

Turkey,Duck Meal,Turkey Broth,Lentils,Chickpeas,Peas,Potatoes,Turkey Liver,Chicken Meal,Pea Flour,Dried Tomato Pomace,Chicken Fat (preserved with mixed tocopherols),Dried Egg Product,Pea Protein,Salmon Oil (preserved with mixed tocopherols),Goose,Chicken,Sweet Potatoes,Flaxseed,Cheese,Pheasant,Quail,Duck,Pumpkin,Carrots,Apples,Broccoli,Natural Flavor,Potassium Chloride,Salt,Monosodium Phosphate,Chicory Root Extract, Vitamins [Choline Chloride, Vitamin E Supplement, Ascorbic Acid, Calcium Carbonate, Riboflavin Supplement, Niacin Supplement, Calcium Pantothenate, Vitamin A Supplement, Vitamin D3 Supplement, Pyridoxine Hydrochloride, Biotin, Vitamin B12 Supplement, Thiamine Mononitrate, Folic Acid], Minerals [Zinc Sulfate, Manganese Sulfate, Ferrous Sulfate, Magnesium Sulfate, Zinc Proteinate, Iron Proteinate, Manganese Proteinate, Copper Sulfate, Magnesium Proteinate, Copper Proteinate, Calcium Iodate], Cranberries,Yucca Schidigera Extract,Sorbic Acid (Preservative),Blueberries,Sodium Selenite,Taurine,Dried Lactobacillus casei Fermentation Product,Dried Lactobacillus reuteri Fermentation Product,Dried Lactobacillus acidophilus Fermentation Product,Dried Lactobacillus plantarum Fermentation Product..


GUARANTEED ANALYSIS

  • Crude Protein 29% MIN
  • Crude Fat 17% MIN
  • Crude Fiber 6.5% MAX
  • Moisture 10% MAX


CALORIC CONTENT

  • 3,709kcal/kg
  • 1,686kcal/lb
  • 393kcal/cup

Fromm Four-Star Nutritionals® Game Bird Recipe Dog Food is formulated to meet the nutritional levels established by the AAFCO Dog Food Nutrient Profiles for all life stages, including growth of large size dogs (70 lb. or more as an adult).


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SKU: 85153974502

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J
Jiewen Wang
Chelsea, 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
Cuba, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
New York, 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
Chelsea, 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
V
Vineeth Sai
Lowell, US
★★★★★ 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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