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AI glossary first submission #525
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AI glossary first submission #525
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bergerhoffer
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Here's a first pass at a few bits of feedback!
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@kelbrown20 Is this ready for a re-review? |
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My apologies for the delay @bergerhoffer! |
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Some minor wording tweaks
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| *See also*: | ||
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| [[inference-serving]] | ||
| ==== image:images/yes.png[yes] inference serving (verb) |
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So is "inferencing" accepted verb usage for serving models? For example, "inferencing the quantized granite model".
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So this is a great point, early on when researching this, I rarely ever saw usage of the the verb form "inferencing" , but Ive been seeing it more and more and It seems like its a standard. I think part of the confusing part was it seemed like PMs were using "inference serving" primarily as the single word for both inferencing and serving, which still works for certain contexts. So I'll keep this term, update the description to make that more clear, and make "inferencing" an option
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Seems jargony to me, vs "performing/running inference" or "inference serving". (ChatGPT and Gemini support this analysis 😃 )
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Both appear widely used in academic papers.
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From what I see, I think the its the noun form vs the verb form of inferencing. I saw inferencing used more as a noun when going through those a few of those articles. I do think I need to update these but @aireilly what do you think of the new defs with examples
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aireilly
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Added some suggestions
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| *See also*: | ||
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| [[inferencing]] |
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| [[inferencing]] | |
| [[inference serving]] |
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"Inference serving" seems to be the proper form.
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They seem to both be correct terms, but they have different meanings.
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OK. So maybe we need "inferencing" and "inference serving"?
Inferencing - the process of running a model
Inference Serving - deploying the inferencing capability on a server
Something like this?
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Yes, that looks about right.
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| [[inference]] | ||
| ==== image:images/yes.png[yes] inference (noun) | ||
| *Description*: The act a model generating outputs from input data. For example, "Inference speeds increased on the new models" |
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| *Description*: The act a model generating outputs from input data. For example, "Inference speeds increased on the new models" | |
| *Description*: The process in which a trained model is loaded into memory and generates output based on input data. | |
| For example, "The Llama-3.2-90B-Vision-Instruct-FP8-dynamic model performs inference to identify objects in an image." |
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@aireilly This is an improvement in the definition. Thanks. I'd like to rewrite this a bit. In general, we write definitions as complete sentences. How's this?
| *Description*: The act a model generating outputs from input data. For example, "Inference speeds increased on the new models" | |
| *Description*: AI inference is the process in which a trained model is loaded into memory and then the makes predictions or performs tasks on new data. For example, "The Llama-3.2-90B-Vision-Instruct-FP8-dynamic model performs inference to identify objects in an image." |
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| *Description*: The act a model generating outputs from input data. For example, "Inference speeds increased on the new models" | |
| *Description*: AI inference is the process in which a trained model is loaded into memory and then makes predictions based on input data. For example, "The Llama-3.2-90B-Vision-Instruct-FP8-dynamic model performs inference to identify objects in an image." |
What about this?
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| [[inferencing]] | ||
| ==== image:images/yes.png[yes] inferencing (noun) | ||
| *Description*: A process by which a model processes input data, deduce information, and generates an output. For example, "The inferencing workload is distributed across multiple accelerators." |
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| *Description*: A process by which a model processes input data, deduce information, and generates an output. For example, "The inferencing workload is distributed across multiple accelerators." | |
| *Description*: The act of deploying and running a trained model so that it can process input data and generate output. | |
| For example, "Use vLLM to inference serve a trained model." |
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@aireilly Both definitions are correct. We just have to decide if we want to put both "inferencing" and "inference serving" in the SSG or choose one over the other.
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I won't be able to merge these without some discussion and changes.
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| [[inference]] | ||
| ==== image:images/yes.png[yes] inference (noun) | ||
| *Description*: The act a model generating outputs from input data. For example, "Inference speeds increased on the new models" |
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@aireilly This is an improvement in the definition. Thanks. I'd like to rewrite this a bit. In general, we write definitions as complete sentences. How's this?
| *Description*: The act a model generating outputs from input data. For example, "Inference speeds increased on the new models" | |
| *Description*: AI inference is the process in which a trained model is loaded into memory and then the makes predictions or performs tasks on new data. For example, "The Llama-3.2-90B-Vision-Instruct-FP8-dynamic model performs inference to identify objects in an image." |
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| *See also*: | ||
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| [[inferencing]] |
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They seem to both be correct terms, but they have different meanings.
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| [[inferencing]] | ||
| ==== image:images/yes.png[yes] inferencing (noun) | ||
| *Description*: A process by which a model processes input data, deduce information, and generates an output. For example, "The inferencing workload is distributed across multiple accelerators." |
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@aireilly Both definitions are correct. We just have to decide if we want to put both "inferencing" and "inference serving" in the SSG or choose one over the other.
This PR adds new AI terms to the style guide glossary