SKU: 3372879535

September- Javier Cantillo - Geisha - Washed - Colombia 200g

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Description

September- Javier Cantillo - Geisha - Washed - Colombia 200gRoasted 4 29 Note From the Roaster This is our first time featuring a coffee from Javier Cantillo Vega. This incredible Geisha won him the 3rd place award at the Central Copa de Oro competition. This coffee has a mouthwatering acidity that reminds us of juicy pears and sparkling limes balanced with a silky body that we always desire when purchasing Geisha. Variety: Geisha Country: Colombia Region: Divino Nio, Suaza, Huila Process: Washed Altitude:

Roasted 4/29

Note From the Roaster

This is our first time featuring a coffee from Javier Cantillo Vega. This incredible Geisha won him the 3rd place award at the Central Copa de Oro competition. This coffee has a mouthwatering acidity that reminds us of juicy pears and sparkling limes balanced with a silky body that we always desire when purchasing Geisha.

  • Variety: Geisha
  • Country: Colombia
  • Region: Divino Niño, Suaza, Huila
  • Process: Washed
  • Altitude: 1730 MASL
  • Producer: Javier Cantillo Vega
  • Farm: Finca Los Delirios
  • Roast Level: Extra-light

In the cup

In the cup we taste a malic acidity reminiscent of juicy pears, a citric acidity that reminds us of sparkling limes, and a delicate florality similar to jasmine. This coffee has a light body and a sparking finish.


About The Producer

Javier Cantillo Vega is a part of the Divino Niño cooperative. His trees are between three and ten years old, planted on a land spanning approximately three hectares. During harvest season, he employs up to 10 local pickers to handpick the coffee cherries.

Processing

This Geisha is first fermented with the cherry intact in bags for 24 hours. It is then de-pulped and fermented with spring water for 48 hours. The wet parchment is then rinsed thoroughly and placed on raised beds inside a parabolic greenhouse solar dryer for 30 days.

Variety

This variety was originally collected from coffee forests in Ethiopia in the 1930s. From there, it was sent to the Lyamungu research station in Tanzania, and then brought to Centro Agronómico Tropical de Investigación y Enseñanza (CATIE) in Central America in the 1953, where it was logged as accession T2722. It was distributed throughout Panama via CATIE in the 1960s after it had been recognized for tolerance to coffee leaf rust. However, the plant's branches were brittle and not favored by farmers so it was not widely planted. The coffee came to prominence in 2005 when the Peterson family of Boquete, Panama, entered it into the "Best of Panama" competition and auction. It received exceptionally high marks and broke the then-record for green coffee auction prices, selling for over $20/pound.There is significant confusion about Geisha because there are multiple genetically distinct plant types that have been referred to as Geisha, many of which share similar geographic origins in Ethiopia. Recent genetic diversity analyses conducted by World Coffee Research confirm that Panamanian Geisha descendent from T2722 is distinct and uniform. It is associated with extremely high cup quality when the plants are managed well at high altitude, and is known for its delicate floral, jasmine, and peach-like aromas.

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SKU: 3372879535

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Ryan Meyer
New York, 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
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Vineeth Sai
Fort Morgan, 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!
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Reviewed in the United States on June 27, 2025
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CL
Fort Morgan, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
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Amazon Customer
New York, US
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material. At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play. I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field. In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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MrGee
Los Angeles, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021

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