Matthew McGrory

Ja, also die Art und Weise, wie wir das betrachten, ist so, dass du deine Kunden, deine Kunden wirklich verstehen musst, was sie suchen. Also es könnte sehr oft ein PR-relevantes Message sein. Ein guter Beispiel ist, I interviewed someone from a very well-known global drinks brand. And they're very sensitive about people talking about them polluting the oceans with plastic.

Ja, also die Art und Weise, wie wir das betrachten, ist so, dass du deine Kunden, deine Kunden wirklich verstehen musst, was sie suchen. Also es könnte sehr oft ein PR-relevantes Message sein. Ein guter Beispiel ist, I interviewed someone from a very well-known global drinks brand. And they're very sensitive about people talking about them polluting the oceans with plastic.

Ja, also die Art und Weise, wie wir das betrachten, ist so, dass du deine Kunden, deine Kunden wirklich verstehen musst, was sie suchen. Also es könnte sehr oft ein PR-relevantes Message sein. Ein guter Beispiel ist, I interviewed someone from a very well-known global drinks brand. And they're very sensitive about people talking about them polluting the oceans with plastic.

So you may or may not be able to guess who I'm talking about. And they spend an awful lot of money cleaning the oceans of very... hunderten von Tonnen Plastik. Sie haben ein Wild-Preservation-Programm und sie wollen Menschen darüber erzählen. Was wir tun können, ist, dass wir die Botschaften nehmen, die sie suchen.

So you may or may not be able to guess who I'm talking about. And they spend an awful lot of money cleaning the oceans of very... hunderten von Tonnen Plastik. Sie haben ein Wild-Preservation-Programm und sie wollen Menschen darüber erzählen. Was wir tun können, ist, dass wir die Botschaften nehmen, die sie suchen.

So you may or may not be able to guess who I'm talking about. And they spend an awful lot of money cleaning the oceans of very... hunderten von Tonnen Plastik. Sie haben ein Wild-Preservation-Programm und sie wollen Menschen darüber erzählen. Was wir tun können, ist, dass wir die Botschaften nehmen, die sie suchen.

Und mit den Verbesserungen in der KI, speziell in großen Sprachmodellen, können wir synthetische Datensätze kreieren. Der Klient gibt uns

Und mit den Verbesserungen in der KI, speziell in großen Sprachmodellen, können wir synthetische Datensätze kreieren. Der Klient gibt uns

Und mit den Verbesserungen in der KI, speziell in großen Sprachmodellen, können wir synthetische Datensätze kreieren. Der Klient gibt uns

10 source comments and they kind of said we're looking for stuff that sounds like this and whenever we whenever that gets posted we want to lean into that conversation and we want to tell them look we're not polluting the oceans we're actually we're saving the whales we're saving the dolphins and we remove this so so pr and kind of crisis people are using these things to get to very specific content in very specific ways

10 source comments and they kind of said we're looking for stuff that sounds like this and whenever we whenever that gets posted we want to lean into that conversation and we want to tell them look we're not polluting the oceans we're actually we're saving the whales we're saving the dolphins and we remove this so so pr and kind of crisis people are using these things to get to very specific content in very specific ways

10 source comments and they kind of said we're looking for stuff that sounds like this and whenever we whenever that gets posted we want to lean into that conversation and we want to tell them look we're not polluting the oceans we're actually we're saving the whales we're saving the dolphins and we remove this so so pr and kind of crisis people are using these things to get to very specific content in very specific ways

Es ist ein bisschen technisch und ich werde nicht als Experte darauf sprechen. Aber es gibt eine Technik namens RAG, die Facebook entwickelt hat.

Es ist ein bisschen technisch und ich werde nicht als Experte darauf sprechen. Aber es gibt eine Technik namens RAG, die Facebook entwickelt hat.

Es ist ein bisschen technisch und ich werde nicht als Experte darauf sprechen. Aber es gibt eine Technik namens RAG, die Facebook entwickelt hat.

which takes a customer's own data, so their own voice, their brand guidelines, their brand voice, the responses that they give to their call center to talk to their clients, pulls that all together, they couple that with the large language model to generate authentic on-brand voice responses for clients. So they use it inbound, how can we detect

which takes a customer's own data, so their own voice, their brand guidelines, their brand voice, the responses that they give to their call center to talk to their clients, pulls that all together, they couple that with the large language model to generate authentic on-brand voice responses for clients. So they use it inbound, how can we detect

which takes a customer's own data, so their own voice, their brand guidelines, their brand voice, the responses that they give to their call center to talk to their clients, pulls that all together, they couple that with the large language model to generate authentic on-brand voice responses for clients. So they use it inbound, how can we detect

specific messages and they're using it outbound for we want the suggested replies. Normally it's suggested to a human agent and they kind of have the last call and edit it of how we respond to that. That's really come about in the last, I would say, 18 months to two years with where kind of open AI and the whole kind of large language model movement has gone and been able to take that.

specific messages and they're using it outbound for we want the suggested replies. Normally it's suggested to a human agent and they kind of have the last call and edit it of how we respond to that. That's really come about in the last, I would say, 18 months to two years with where kind of open AI and the whole kind of large language model movement has gone and been able to take that.