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See for yourself by reading reviews on the most popular resources:
I love the convenience of sending a fax from anywhere I have a wifi connection. The ease of filling PDF documents is great compared with other programs.
2015-10-07
I was sort of afraid to install and pay for this online. There is so much identity theft out there.. I was just a victim of fraud on my bank account. But this seem pretty secure and was easy to get going.
2015-11-22
Awesome!! if i could erase letters without distorting the background that would be awesome. i would give 5 stars for that. Otherwise if i could 4.75 I WOULD!!!
2018-05-04
I am in a struggle with the Home Office. I have to fill out multiple forms repeatedly. I bought Adobe but it did not work. This software is very straightforward and I am sharing the document with my Barrister, which saves me money, time and avoids confusion
2018-07-17
i find it easy to use. but i was wondering if there's a way to order a 3page document that when i wright on the first it goes through the other 2 so i can have a copy for the customer and 2 for the ofice.
2023-12-11
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It gives me options and variations of a document that saves me time AND aggravation.
What do you dislike?
Nothing, really. It suits our needs. Maybe more variety of documents.
Recommendations to others considering the product:
Worth every penny to save you time and effort
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Saves me time, quick retrieval, easy corrections, do not have to reinvent the wheel.
2022-02-08
5* Customer Service
I am very impressed with the customer service. When I was charged for a years subscription after my free trial, which I queried immediately, I received a full refund within the hour with no quibble.
2021-04-11
Sam's response to my issue concerning…
Sam's response to my issue concerning billing was quick and professional! The matter was handled within 5 minutes. Superb!
2020-12-15
What do you like best?
ability to modified, great support, creat tools
What do you dislike?
limited merging documents, not supporting large documents
Recommendations to others considering the product:
great tool for office
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modified docus, signon, fax option, notarized, legal docs
2020-11-18
For pdfFiller’s FAQs
Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
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What are the advantages of RAG over finetuning?
RAG is excellent for dynamic settings since it can access up-to-date data from internal data and knowledge sources without retraining your LLM. Fine-tuning can raise the accuracy of LLM responses, but the responses are still based on static snapshots of the training datasets and can be outdated.
What is better than RAG LLM?
Fine-tuning: Best for training the model to understand and perform specific tasks more accurately. RAG: Ideal for ensuring the model has access to the latest and most relevant data. Combination: Using both methods can improve the model's performance and reliability.
What is better than RAG?
GraphRAG improves the retrieval element of the three components of RAG we mentioned earlier. ing to Microsoft, it “populates the context window with higher relevance content, resulting in better answers and capturing evidence provenance.”
Is rag better than fine-tuning?
Is rag better than fine-tuning? RAG is generally better for most enterprise use cases because it is more secure, scalable, and cost-efficient. It allows for enhanced security and data privacy, reduces compute resource costs, and provides trustworthy results by pulling from the latest curated datasets.
Is RAG or fine-tuning better?
Is rag better than fine-tuning? RAG is generally better for most enterprise use cases because it is more secure, scalable, and cost-efficient. It allows for enhanced security and data privacy, reduces compute resource costs, and provides trustworthy results by pulling from the latest curated datasets.
How to structure data for fine-tuning?
When preparing your dataset for fine-tuning, it is essential to follow some general best practices to achieve optimal results: Provide a sufficient number of high-quality examples, ideally vetted by human experts. Increase the number of examples for better performance.
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