Bionics Instrument Co. STX-1551HT Smart Transmitter STX-HT ASM 63-119074A17 New
SKU: 54144117835

Bionics Instrument Co. STX-1551HT Smart Transmitter STX-HT ASM 63-119074A17 New

Sale price$227.78 Regular price$253.09
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Description

Bionics Instrument Co. STX-1551HT Smart Transmitter STX-HT ASM 63-119074A17 NewBionics Instrument Co. STX 1551HT Smart Transmitter STX HT ASM 63 119074A17 New Inventory # G2019 This Bionics Instrument Co. STX 1551HT Smart Transmitter STX HT ASM 63 119074A17 is new surplus. The physical condition is great. Specifications Part No: 63 119074A17 Sale Details Item Condition: New, 90 Day Warranty Estimated Packed Shipping Dimensions: L x W x H = 10. 00" x 10. 00" x 10. 00" @ 5. 00 lbs. Only items pictured are included: If a part is

Bionics Instrument Co. STX-1551HT Smart Transmitter STX-HT ASM 63-119074A17 New

Inventory # G2019

This Bionics Instrument Co. STX-1551HT Smart Transmitter STX-HT ASM 63-119074A17 is new surplus. The physical condition is great.

Specifications

  • Part No: 63-119074A17

    Sale Details

    • Item Condition: New, 90 Day Warranty
    • Estimated Packed Shipping Dimensions: L x W x H = 10.00" x 10.00" x 10.00" @ 5.00 lbs.

    • Only items pictured are included: If a part is not pictured, or mentioned above, then it is not included in the sale. Pictured test equipment is not included or available for sale.
    • For items with multiple quantities: The pictured item is not necessarily the one that will be sent. Serial numbers or country of manufacture may vary.
    • Items are sold with a 90-Day Satisfaction Guarantee (see details below)

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    General Shipping Terms

    All items will be securely packaged and shipped via traceable and insured UPS, FedEx, DHL, USPS or select Freight Carriers. All tracking information is forwarded to the email address associated with your eBay account. We require a recipient or company name, address and phone number for all shipments. Shipping and handling times may vary based on the packing requirements, so please allow up to 5 business days for handling.


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    • Same day shipping may not be available for freight items or if UES is experiencing a large volume of outgoing orders.
    • Same day shipping is NOT available for international sales due to export requirements.
    Boxed Shipment Details
    • Domestic Shipments: Free shipping is offered for most items, UES reserves the right to ship using economical shipping method.
    • International Shipments: Carrier rates are calculated by package dimensions and shipping location. Buyer is responsible for duties, taxes (VAT), or other import fees.
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    Freight Shipment Details
    • Freight shipments are commercial Dock to Dock deliveries; residential addresses are curbside service only, buyer is responsible for moving the product from the truck lift gate to their home.
    • Additional Fee for Residential/Home Delivery: $120.00 ($75.00 for lift gate service and $45.00 for non commercial addresses)
    • Additional Fee for Custom Crate/Pallet/Barrier Bagging: Packing rates may be added to both domestic and international shipments, please contact for current rates.
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    • For freight items offering free US Domestic shipping (residential delivey exculded), UES reserves the right to ship using economical method including ocean shipping service for international purchases.

    INTERNATIONAL EXPORT POLICY

    International orders are subject to DUTIES, TAXES (VAT), or other Import Fees; the buyer is solely responsible for these fees, documents and transportation if held at a customs office in the destination country. In the event that you have questions about international shipping logistics please contact us before purchase.

    These products are subject to export restrictions under U.S. law. The Bureaus of U.S. Census and the Bureau of Industry and Security (BIS) regulate exports through the Export Administration Regulations (EAR). We DO NOT any sell items to any locations in Country Group E. Please be aware that we may require up to 30 Days to determine the products export classifications [Export Control Classification Number (ECCN)] and in the unlikely event that an export license is required, we would need an additional 30-90 Days for licensing.

    In order to comply with export control laws established by the US Department of Commerce and the US Department of State, we require a written statement defining the ultimate End User, the End Use of each product to be exported and the buyers agreement to comply with the Export Administration Regulations (EAR). You will be contacted via email with the appropriate documents that will need to be returned to us in order to complete your order, please be advised that we cannot complete your order if you do not provide all of the data requirements.

    Return/Warranty

    90-DAY SATISFACTION GUARANTEE
    Customer satisfaction is our priority. If you are not completely satisfied with your purchase, please contact us within 90 days of your purchase and we will refund 100% of your purchase price. To expedite the process, please include all eBay item numbers. All returns must include all original undamaged items, in resalable condition with all original packaging including manuals, warranty forms, etc. Software sales are non-refundable. Shipping and Handling fees are non-refundable. Buyer is responsible for return item shipping costs.


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Exchange/Return Notes
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SKU: 54144117835

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4.3 ★★★★★
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O
Om S
Bozeman, 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
Battle Creek, 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
Birmingham, 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
Massapequa, 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
Belleville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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