Discourse.ai

Unlocking the value of conversation data

[Discourse.ai @discourseai]

Using NVIDIA V100 GPUs has allowed https://t.co/2sW0dYC5LR to reduce machine learning training times from days to minutes; we unlock the value of conversation data to glean business insights, discover intents and train bots faster.

https://t.co/HycPof93L7

[Andrew Ng @AndrewYNg]

The suspension of the H1B visa program is bad for the US, bad for innovation, and will shatter dreams and disrupt lives. As a former H1B visa holder, my heart goes out to all the families affected.

[NVIDIA AI @NVIDIAAI]

Discourse #AI is helping large #finance companies structure and visualize customer conversation data and reduce the time and cost to develop new chatbots to market. Learn more:

[Discourse.ai @discourseai]

Using NVIDIA V100 GPUs has allowed https://t.co/2sW0dYC5LR to reduce machine learning training times from days to minutes; we unlock the value of conversation data to glean business insights, discover intents and train bots faster.

https://t.co/HycPof93L7

[SpeechTEK @SpeechTEK]

Learn to train better bots faster with @eisenzopf during his session at #SpeechTEK 2020. He's got 20 years and a wealth of experience to share. Find out more and register to be there! #bots @discourseai https://t.co/MBg36KHZBg

[Jonathan Eisenzopf @eisenzopf]

Why is conversation analysis important for businesses?

Conversation is the mechanism that activates the action potential of humankind. Understanding how conversation works maximizes the chances interlocutors will achieve outcomes that meet their goals.…https://t.co/SJrEd1WiN6

[Discourse.ai @discourseai]

https://t.co/2sW0dYC5LR Demo for IBM Watson Assistant https://t.co/4cANnFZodo via @YouTube

[Discourse.ai @discourseai]

@semanticarts There must be some great analogy here, eh? But I sure can’t find it!

[Discourse.ai @discourseai]

https://t.co/cfuRodbq6T

Join us tomorrow morning 10am PT on this FutureProofing : Now webinar to learn more about "AI and the New Dimensions of Innovation." Our founder and CTO, @eisenzopf will be participating in the demo / panel session along with other AI experts.

[Discourse.ai @discourseai]

Want to build better bots faster? Check out our demo https://t.co/yoxSZ0vXfZ to see how we use your existing (and ongoing) customer conversations to speed the development and training of Amazon Lex bots!

[Dan Miller @dnm54]

BBS services were the first example of computer based #conversational services. iGreat account of the beginnings by @CadeMetz HT @mikecane who compiled the first computer phone book.

[Discourse.ai @discourseai]

Very exciting to be on the main stage at AWS #reInvent2019 (Where's Waldo, er, https://t.co/2sW0dYC5LR?)

[Discourse.ai @discourseai]

What a great time to be an Amazon APN partner focused on #AmazonConnect and #Lex integrations!

[Discourse.ai @discourseai]

Great time at AWS re:Invent today - especially, connecting at re:Connect with our contact center tribe!

[Discourse.ai @discourseai]

Looking forward to seeing some familiar faces at AWS #reInvent this week - and to showing you how to unlock the value of customer conversations to build better Lex bots faster!

[Hugging Face @huggingface]

Transformers v2.2 is out, with *4* new models and seq2seq capabilities!

ALBERT is released alongside CamemBERT, implemented by the authors, DistilRoBERTa (twice as fast as RoBERTa-base!) and GPT-2 XL!

Encoder-decoder with ⭐Model2Model⭐

Available on https://t.co/rNsF2qEV2C

[Wouter van Amsterdam @WvanAmsterdam]

Bernhard Scholkopf (@bschoelkopf) just published a single author paper titled "Causality for Machine Learning" (https://t.co/Y155IZNqqQ); this should probably at the top of the reading list for many people interested in machine learning / AI; @yudapearl @eliasbareinboim

[Shijie Wu @EzraWu]

Excited to share my summer intern project @facebookai “Emerging Cross-lingual Structure in Pretrained Language Models” https://t.co/YGFhT3Go1e

We dissect mBERT & XLM and show monolingual BERTs are similar

Joint work with @alex_conneau @AimeeLiS @LukeZettlemoyer @vesko_st

[Discourse.ai @discourseai]

@EzraWu @facebookai @alex_conneau @AimeeLiS @LukeZettlemoyer @vesko_st This result further confirms suspicions. Fantastic work. In this case symmetry seems to be aligning on common domain layers across languages yes?

[Stanford NLP Group @stanfordnlp]

How can computers answer questions with multi-step information needs? How can it be done efficiently and interpretably? @qi2peng2 and colleagues explain at #emnlp2019. Paper: https://t.co/lxC4ul6rC6 Blog post: https://t.co/h4Z1xTXrVd #NLProc