That can definitely be built on this platform!

On Fri, Feb 28, 2014 at 5:52 PM, SeH <[email protected]> wrote:

> i'm imagining a live interaction toy that displays all predictions while
> text is being typed.  color or size of displayed text can indicate
> prediction strength.  but if a prediction (aka suggestion) is clicked, it
> changes the word and the predictions from that point are recomputed.
>
> for example:
>
> if i  type this|
> ----------------------------------------
> i       might   think       about
> how     i'm     *choosing*    words
> less    common  results     here
>
> so this would expand on the search engine live search widgets somehow.
>
> maybe it could be integrated with a search or recommendation engine for
> actual results.
>
>
>
>
> On Fri, Feb 28, 2014 at 7:40 PM, Chetan Surpur <[email protected]> wrote:
>
>> As per request (@Francisco and others), you can now paste text into the
>> input text field, and watch all the text get added to the model.
>>
>> This closes https://github.com/numenta/nupic.fluent.server/issues/3.
>>
>>
>> On Fri, Feb 28, 2014 at 4:09 PM, Chetan Surpur <[email protected]>wrote:
>>
>>> Thanks everyone! I'm excited to see what the community can build off of
>>> this :)
>>>
>>>
>>> On Fri, Feb 28, 2014 at 7:43 AM, Matthew Taylor <[email protected]>wrote:
>>>
>>>> I'm quite happy with the demo app Chetan has put together. I want to
>>>> emphasize that there's a great opportunity for the community to expand upon
>>>> it and create further demos within the nupic.fluent.server that uses the
>>>> API Chetan's provided (both the REST API on the server and the underlying
>>>> nupic.fluent API for python projects) to create more interesting things. We
>>>> have more ideas of things to create, and over time we'll be providing more
>>>> pages of demos using CEPT and NuPIC. Jeff thinks there is some potential
>>>> here to create interesting word games.
>>>>
>>>> ---------
>>>> Matt Taylor
>>>> OS Community Flag-Bearer
>>>> Numenta
>>>>
>>>>
>>>> On Fri, Feb 28, 2014 at 6:02 AM, Francisco Webber <[email protected]>wrote:
>>>>
>>>>> Hi Chetan,
>>>>> This is really great news!
>>>>> I think that this initiative will boost the participation of more
>>>>> application oriented community members. The natural language domain has a
>>>>> big advantage, namely that it is fairly easy to create test, training and
>>>>> experimentation collections of (text) data. Furthermore it is easier to
>>>>> interpret a result of an experiment as natural language can be intuitively
>>>>> understood.
>>>>> But also the "algorithmic" part of the community will profit from this
>>>>> new infrastructure, as it will become much easier to create a controlled
>>>>> experimental setup that allows to evaluate improvements of the algorithms
>>>>> (on both sides Numenta as well as CEPT).
>>>>> A third big advantage for the whole "CLA-movement" will be the
>>>>> increased visibility for the grand public, based on application demos 
>>>>> built
>>>>> with the Numenta-CEPT hybrid.
>>>>>
>>>>> One of the first questions that pop up in my mind is: How much, in
>>>>> terms of quantity, will this patch of 16K columns be able to learn and
>>>>> remind?
>>>>>
>>>>> We also plan to instantiate a dedicated CEPT resource for the purpose.
>>>>> I will update you in the coming days on the progress.
>>>>>
>>>>> Again, thumbs-up for Chetan
>>>>>
>>>>> Cheers
>>>>>
>>>>> Francisco
>>>>>
>>>>> On 28.02.2014, at 06:08, Chetan Surpur <[email protected]> wrote:
>>>>>
>>>>> Hi everyone,
>>>>>
>>>>> I'm happy to introduce a project I've been working on this week. It's
>>>>> a platform for language prediction, using NuPIC together with CEPT [1]. 
>>>>> The
>>>>> goal is to make it easy for anyone to build a language-based demo of NuPIC
>>>>> without having to know any of the internals of the CLA or CEPT.
>>>>>
>>>>> In fact, I have not one, but *two* little projects to open up to you.
>>>>>
>>>>> The first is nupic.fluent [2], a python library. It builds off of
>>>>> Subutai's and Matt's hackathon demos [3]. With it, you can create a model,
>>>>> feed it a word (also called a "term"), and get a prediction for the next
>>>>> one. It's very simple - and that's the point.
>>>>>
>>>>> The second is nupic.fluent.server [4], a server-based API and sample
>>>>> web app using nupic.fluent at its core. You can use it to build a 
>>>>> web-based
>>>>> demo of language prediction with NuPIC, something we invited the community
>>>>> to participate in during the last office hour [5].
>>>>>
>>>>> But wait, there's more! I've hosted the Fluent server on an EC2
>>>>> instance, so you all can play with the Fluent web app right now. Enjoy:
>>>>>
>>>>> http://bit.ly/nupic-fluent
>>>>>
>>>>> Note that it's far from production-ready, and it may go down at any
>>>>> time. That link is just a little taste for now; I aim to host it in a more
>>>>> permanent place soon.
>>>>>
>>>>> Here is a screenshot of it in action:
>>>>>
>>>>> <image.png>
>>>>>
>>>>> Lastly, I invite everyone in the community to come hack on this with
>>>>> me; it's under the same license as NuPIC. And of course, feel free to use
>>>>> it in your demos (but be wary, it's still very early and the API 
>>>>> might/will
>>>>> change).
>>>>>
>>>>> Thanks,
>>>>> Chetan
>>>>>
>>>>> [1] http://www.cept.at/
>>>>> [2] https://github.com/numenta/nupic.fluent
>>>>> [3] http://numenta.org/blog/#demos
>>>>> [4] https://github.com/numenta/nupic.fluent.server
>>>>> [5] http://www.youtube.com/watch?v=67q75RnU58A&feature=share&t=37m16s
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>>>>>
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