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Description
Borla 11925CF - Axle-Back Exhaust System ATAK(r)This system is for vehicles equipped with dual tips and NPP (dual mode exhaust) valves. This system features functioning NPP valves. It features unique BORLA(r) carbon fiber tips with bright centers. The ATAK(r) system is our most aggressive sounding system. BORLA(r) Cat Back(tm) & Axle Back exhaust systems feature patented straight through and multi core technology to unleash hidden horsepower. Increased exhaust velocity adds power, driving
This system is for vehicles equipped with dual tips and NPP (dual mode exhaust) valves. This system features functioning NPP valves. It features unique BORLA(r) carbon fiber tips with bright centers. The ATAK(r) system is our most aggressive sounding system. BORLA(r) Cat-Back(tm) & Axle-Back exhaust systems feature patented straight-through and multi-core technology to unleash hidden horsepower. Increased exhaust velocity adds power, driving excitement, fuel economy, and the distinctive BORLA(r) Sound of Power respected by motoring enthusiasts everywhere. Each system is built from premium T-304 austenitic stainless steel, superior to T-400 series knockoffs (such as 409), to give you the absolute best in performance and durability. Ultra-smooth mandrel bends ensure maximum flow & power, and precision computer-controlled CNC manufacturing ensures an accurate fit. Best of all, BORLA(r) stands behind every system with a Million-Mile Warranty. Just what you'd expect from the world's most experienced (and most winning) exhaust brand.
Specifications:
| Description_ASM | 2016-2023 Chevrolet Camaro SS 6.2L V8 Automatic/ Manual Transmission Rear Wheel Drive 2 Door With Dual Mode Exhaust (NPP) Valves. |
| Description_DEF | Exhaust System Kit |
| Description_DES | Axle-Back Exhaust System - ATAK(r) |
| Description_EXT | ATAK(r) Axle-Back Exhaust System 2016-2023 Chevrolet Camaro SS 6.2L V8 Automatic/ Manual Transmission Rear Wheel Drive 2 Door Equipped With Dual Mode Exhaust (NPP). |
| Description_INV | Borla(r) Axle-Back System |
| Description_MKT | This system is for vehicles equipped with dual tips and NPP (dual mode exhaust) valves. This system features functioning NPP valves. It features unique BORLA(r) carbon fiber tips with bright centers. The ATAK(r) system is our most aggressive sounding system. BORLA(r) Cat-Back(tm) & Axle-Back exhaust systems feature patented straight-through and multi-core technology to unleash hidden horsepower. Increased exhaust velocity adds power, driving excitement, fuel economy, and the distinctive BORLA(r) Sound of Power respected by motoring enthusiasts everywhere. Each system is built from premium T-304 austenitic stainless steel, superior to T-400 series knockoffs (such as 409), to give you the absolute best in performance and durability. Ultra-smooth mandrel bends ensure maximum flow & power, and precision computer-controlled CNC manufacturing ensures an accurate fit. Best of all, BORLA(r) stands behind every system with a Million-Mile Warranty. Just what you'd expect from the world's most experienced (and most winning) exhaust brand. |
| Description_SHO | Axle-Back System |
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4.6 ★★★★★
Based on 48 reviews
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Product Reviews
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
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Reviewed in the United States on November 16, 2019
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript.
Great book.
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Reviewed in the United States on June 10, 2025
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents.
What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025