it should use websockets for fast feedback.  using the term 'channel' (like
IRC) instead of 'model' might make it easier to understand for users.


On Fri, Feb 28, 2014 at 8:55 PM, Chetan Surpur <[email protected]> wrote:

> 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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