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OBDII Adapter Cable - Yamaha Outboard (34 Pin ECU, Style 1)This cable plugs directly into the PCM and includes alligator clips for a 12V battery source. PCM: Yamaha Mitsubishi_1024K_Marine New supported models that need this cable: 2017 2024 F150 2. 8L 6H 2022 2025 F200 2. 8L 6LH 2013 2024 F200 2. 8L 6DV 2010 2021 F225 4. 2L 6CL 2008 2010 F250 3. 3L 6BR 2009 2021 F250 4. 2L 6CB 2010 2021 F250 4. 2L 6CG 2010 2021 F300 4. 2L 6CE 2007 2009 F300 4. 2L 6BJ 2020 2024 F300 4. 2L 6KA 2007 2019 F350 5. 3L 6AW
This cable plugs directly into the PCM and includes alligator clips for a 12V battery source.
PCM: Yamaha Mitsubishi_1024K_Marine
New supported models that need this cable:
- 2017-2024 F150 2.8L 6H
- 2022-2025 F200 2.8L 6LH
- 2013-2024 F200 2.8L 6DV
- 2010-2021 F225 4.2L 6CL
- 2008-2010 F250 3.3L 6BR
- 2009-2021 F250 4.2L 6CB
- 2010-2021 F250 4.2L 6CG
- 2010-2021 F300 4.2L 6CE
- 2007-2009 F300 4.2L 6BJ
- 2020-2024 F300 4.2L 6KA
- 2007-2019 F350 5.3L 6AW
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4.2 ★★★★★
Based on 22 reviews
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Product Reviews
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
WAS THIS REVIEW HELPFUL?YesReportShare
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
★★★★★ 5
Excellent Handbook
Format: Paperback
What got my interest in this book is the author. He's well-known as a leader in the LangChain world. And his book did not disappoint. It goes through the whole life cycle of development and there is a lot useful insights. If you are looking to build real-world genAI/agentic apps, then this book is certainly a great choice.
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Reviewed in the United States on April 11, 2025
★★★★★ 5
Useful resource!
Format: Paperback
I found this book well written and extremely useful for getting comfortable with LLMs for building AI apps in production and other agent driven applications.
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Reviewed in the United States on April 10, 2025
★★★★★ 5
Fantastic!
Format: Paperback
A great primer on getting started with LangChain concepts!
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Reviewed in the United States on April 10, 2025
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