Meta AI’s new “BlenderBot”: The next generation!

Meta AI said a cou­ple of days ago that it released a new ver­sion of its advanced Blender­Bot chat­bot that is able to remem­ber pre­vi­ous inter­ac­tions and learn from them.

In a blog post, Meta AI researchers said the upgrad­ed chat­bot can search the inter­net for infor­ma­tion so it can chat about almost any top­ic, while improv­ing its con­ver­sa­tion­al skills through nat­ur­al con­ver­sa­tions and feed­back “in the wild.”

Accord­ing to Meta AI, Blender­Bot 3 is said to be the world’s first 175 bil­lion-para­me­ter, pub­licly avail­able chat­bot that comes com­plete with mod­el weights, code, datasets and mod­el cards.

The orig­i­nal Blender­Bot, which Meta AI launched two years ago, had the abil­i­ty to blend skills such as empa­thy, knowl­edge and per­son­al­i­ty into a com­plete AI sys­tem. One year after that, Meta AI launched Blender­Bot 2, in which researchers had added a long-term mem­o­ry capa­bil­i­ty that enabled it to hold more engag­ing and sophis­ti­cat­ed con­ver­sa­tions on vir­tu­al­ly any topic.

Meta AI’s long-term goal is to build more real­is­tic AI sys­tems that can inter­act with humans in more intel­li­gent, use­ful and safer ways, and to do this it says it must adapt the mod­els that pow­er them to our ever-chang­ing needs.

The unit claims that Blender­Bot 3 deliv­ers supe­ri­or per­for­mance to any chat­bot because it’s based on its pub­licly avail­able OPT-175B lan­guage mod­el, which is 58 times larg­er than the mod­el that pow­ered Blender­Bot 2.

“Most pre­vi­ous pub­licly avail­able datasets are typ­i­cal­ly col­lect­ed through research stud­ies with anno­ta­tors that can’t reflect the diver­si­ty of the real world,” Meta AI explained.

Read: Time Travel Using AI + VR?

Through a live, pub­lic demo, so far only avail­able in the U.S., Blender­Bot 3 can learn from inter­ac­tions with any­one. The expe­ri­ence it gains from these con­ver­sa­tions will enable it to hold longer and more diverse con­ver­sa­tions, Meta AI said, and pro­vide more var­ied feed­back. For instance, those who chat with it can pro­vide feed­back to each response with a thumbs up or down, spec­i­fy­ing what they didn’t like about each neg­a­tive com­ment, such as because it was off-top­ic, rude, spam­like, non­sen­si­cal or some­thing else.

Blender­Bot 3 also takes steps to address the real­i­ty that not every­one who is using it will have good inten­tions. To that end, it incor­po­rates learn­ing algo­rithms aimed at dis­tin­guish­ing between help­ful and harm­ful feedback.

“We hope this work will help the wider AI com­mu­ni­ty spur progress in build­ing ever-improv­ing intel­li­gent AI sys­tems that can inter­act with peo­ple in safe and help­ful ways,” the researchers said.

The next generation of BlenderBot

As the first in the series of Bleder­Bot was just a toy, the sec­ond one was a step for­ward, with long-term mem­o­ry and the vocab­u­lary, which had grown to 200k words. And now, Blender­Bot 3 has long-term mem­o­ry capac­i­ty and even the abil­i­ty of self-learning.

That means that the next gen­er­a­tion of Blender­Bot will pos­si­bly have cog­ni­tive archi­tec­ture: knowl­edge of facts about the envi­ron­ment; being able to learn from inter­ac­tions with peo­ple in real time; mod­els of per­cep­tion and cog­ni­tion based on data from exter­nal sources; per­son­al­i­ty and emo­tions with para­me­ters that can vary depend­ing on circumstances.

In addi­tion, the next gen­er­a­tion of Blender­Bot will be able to inter­act with peo­ple based on its abil­i­ty to gen­er­ate some­thing more than just a pre­set answer, such as demon­strat­ing a sense of humor.

On the oth­er hand, Google’s Brain Team have announced Ima­gen, a text-to-image AI mod­el that can gen­er­ate pho­to­re­al­is­tic images of a scene giv­en a tex­tu­al descrip­tion and DALL·E 2, which is a new AI sys­tem that can cre­ate real­is­tic images and art from a descrip­tion in nat­ur­al language.

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