AI Credit Usage
With all the AI apps out there like, Chatgpt, co-pilot, and others it is almost pointless to pay for more AI credits. In fact, I have had quicker search results using Chatgpt free version on various topics. When AI came out Logos had to jump on the band wagon. They ought to just make it free with paid subscription.
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ChatGPT talks a lot of nonsense though. Try asking it about the origins of Halloween for example, and then find out the primary sources on which it bases its answer.
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Welcome
"They ought to just make it free with paid subscription."
The subscription price would include the AI Credits, so it is "free". What are you really trying to say when you also state:
" it is almost pointless to pay for more AI credits."
I apologise for the forum thinking that this response is a series of Quotes
Dave
===Windows 11 & Android 13
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It depends on your purpose. For some purposes, I use public chatbots - Perplexity and occasionally Gemini. But I do so when I already know the answer or will recognize it. When I want a search, often when I do not know the answer, I use the smart search so that I can evaluate the value of the information in resources that I trust.
As others have observed, it is part of the subscription, not an additional fee.
Orthodox Bishop Alfeyev: "To be a theologian means to have experience of a personal encounter with God through prayer and worship."; Orthodox proverb: "We know where the Church is, we do not know where it is not."
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I must be totally clueless, as I see no credits whatsoever, nor do I understand what AI is here, and the entire subject.
I'm pretty sure as a Pro subscriber, converted from the previous subscription, I get access to AI feature, and supposedly, :"Lots of credits" but despite all the notes I have seen, I still no less than I did before they even started this thing.0 -
I see no credits whatsoever, nor do I understand what AI is here
You will see this possibly only after having used a bit of AI such as opening a search panel and running a "smart search" i.e. a search worded like you would ask a chatbot, not a bible software (eg: "when was MLK killed?").
Have joy in the Lord!
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And if you click the blue hyperlinked text in @NB.Mick 's screenshot you will be taken to this page
https://support.logos.com/hc/en-us/articles/23563051328269-How-do-AI-credits-work
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This article should be updated to include a note about the AI indicator not showing after the monthly refresh until AI credits have been used again. This has caused and will likely continue to cause confusion.
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This article should be updated to include a note about the AI indicator not showing after the monthly refresh until AI credits have been used again.
Good point @Aaron Hamilton - but, as far as I know, this is only the case in Logos 39 which has just started its beta testing.
Are you seeing anything different?
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Mark Barnes talked about this on a recent webinar as if this were the intended/expected behavior. I did experience it on v38, but I will have to wait until Jan. 8 to experience it again. I don't think the behavior is a problem except for the confusion it may cause, though if it were an easy fix I suppose it wouldn't hurt to have the indicator display at 0.
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The subscription price would include the AI Credits, so it is "free". What are you really trying to say when you also state:
" it is almost pointless to pay for more AI credits."
So maybe I'll have to review concerning AI credits. Before they released the full version of Logos Pro, I'm fairly certain I read that if you go over your AI usage, you'll have to pay or wait until the following month for your credits to be refilled. I said it's almost pointless because there are other AI apps to choose from, and they’re getting better. Google just released Gemini 2.0. I rarely use AI for Bible study anyway. I've been trained to study Scripture seriously and methodically. I normally don't start reaching for commentary or searching for answers on difficult passages until I've completed my work. It was just a thought, and of course, I could be wrong. Thank you.
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The AI within Logos is contextual to your "owned" books. It is also aware which part of the book you are and it will summarize either the entire book, a chapter or a paragraph. It is also within the app. So far, I have used it a few times and found the summaries very useful.
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Thanks for the link. This is a little bit unrelated. And a product suggestion to Logos product team. Logos can actually cache the AI results by storing the results in a data lake. When a particular passage is being requested to be summarized, the tool can first fetch what is stored, if it has not been requested. But since the prompts are controlled by Logos, then it can start to store the results. This can save Logos cost.
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And a product suggestion to Logos product team. Logos can actually cache the AI results by storing the results in a data lake. When a particular passage is being requested to be summarized, the tool can first fetch what is stored, if it has not been requested. But since the prompts are controlled by Logos, then it can start to store the results. This can save Logos cost.
@Ram Teodosio , you may be interested in a previous discussion on this at
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@Graham Criddle yes, they could absolutely do it ahead of time. However, in the commercial model of most AI usage based on "tokens," it would charge against Logos account without attributing the usage to a user. Technically, when we use the AI summarization, we are using an allocated tokens, and these usage is bundled with the subscription fee. So, what Logos product could do is that if someone runs a summary of a chapter of a book, then Logos should just tag that and store the summary in the data lake. It can be reused by others without using up that AI token because its just a stored data similar to how we would store personal Notes. Now, Logos product team will have to do research to see if this is something that will save money and decrease overall utilization of AI tokens. This is also a data engineering question and it's something that many companies are starting to do. It may work for Logos because Logos has a limited set of data set (the collection of books in its inventory). It doesn't work for internet searches because of the variables (current events, news, etc.).
Just a thought to support Logos and its ongoing iteration of improvement.
Here's an explanation of Tokens:
In artificial intelligence (AI), a "token" is the smallest unit of data used to process and analyze text, essentially breaking down sentences into manageable pieces like words or even parts of words, allowing AI models to understand and generate human language more effectively; it's like how we break down sentences into words when reading, but with more nuanced capabilities to capture context and meaning within a language model.
Key points about tokens in AI:- Function: Tokens act as the building blocks for AI models, particularly in Natural Language Processing (NLP) tasks, where they enable the analysis of text by breaking it down into smaller units that can be easily processed by the algorithm.
- How they work: When you input text into an AI system, it first "tokenizes" the text, meaning it splits it into individual tokens based on predefined rules (like spaces between words, punctuation marks).
- Example: "The quick brown fox jumps over the lazy dog" would be tokenized as ["The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"].
- Advanced tokenization: Some AI models use more sophisticated tokenization methods, like "subword tokenization," where words can be broken down into smaller parts (like "un" and "derstand" from "understand") to better handle rare words or complex language.
Why tokens are important:
- Context understanding: By processing tokens together, AI models can grasp the relationships between words and understand the overall meaning of a sentence, which is crucial for tasks like translation, sentiment analysis, and text generation.
- Efficiency: Breaking down text into tokens allows for faster processing and analysis by the AI model compared to handling entire sentences at once.
- Flexibility: Different AI models can use different tokenization strategies depending on the specific task and language they are designed for.
Important considerations with tokens:
- Token limits: Most AI models have a maximum number of tokens they can process in a single input, so users need to be mindful of the length of their queries.
- Cost implications: In some AI services, users are charged based on the number of tokens used.
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Totally agree.
Extremely frustrating.0 -
Thanks. Very helpful. At least as far as locating the info needed.
As far as the AI credits go; Im not sure it's all that. But, thats a whole different issue. I guess some AI software is better than others. Although quite inaccurate too often, MS' Copilot I actually like. It's like talking to a real person; it tends to understand what I am saying, and is relatively cool. Most other bots, are annoying, stupid, and a pain, as they have absolutely no clue (Like CVS, and most retailers automated bots that just need to go away). Since this is too new for me, I am unsure where I file this one. But, so far, it just seems like the same search we had before. So, not sure where the AI comes in. Yet.0 -
But, so far, it just seems like the same search we had before. So, not sure where the AI comes in. Yet.
We weren't able to do this type of natural language search previously
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You're feeding information to demons.
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But, the results are close to the same?
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But, the results are close to the same?
Not really
Firstly you would need to work out how to construct such a search using precise Logos search language - which I know a lot of people struggling in doing.
Secondly, one of the benefits of the AI-enabled search is that we get the most relevant results reported first - along with a synopsis.
And we are also able to look at summaries of search results to see if we want to explore them further.
All of these capabilities are new to AI-searches enabled in the subscription model
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