With a Little Help From My Friends
Rough draft video of the demo, real-time inference on streaming financial news.— Quantum Stat (@Quantum_Stat) March 27, 2020
What it looks like in real time from this morning's tweets, the white labels are 1 transformer, the 2nd transformer are bullish, bearish, neutral.#fintech #AI #ArtificialIntelligence #DeepLearning pic.twitter.com/bmmxXoOgRq
Recorded a live feed of the (almost done) demo. I’m using 2 classifiers to classify financial news tweets for topic and sentiment and they classify in real-time 👀. Deploying large transformer models for online inference is hardcore!
Meanwhile, back at the ranch, Refinitiv released a blog post showing how they trained BERT from scratch using Reuters news corpus and then fine-tuned for downstream tasks.
They were going after events in financial news, more specifically, environmental, social and governance (ESG) controversies. (From an investor perspective, they are interested in how societal events may have an impact on companies.)
Refinitiv Labs focuses on harnessing the power of Big Data and Machine Learning (ML) to drive innovation and shape the future of financial services…
FYI: Releasing a new update for the Big Bad NLP Database very soon!
How was your week? 😎
– Software is Eating the World
– Decoding Output
– Deep Dive in QA BERT
– Y Combinator DEMO Day
– Summarization with BART
– AI Adoption in the Enterprise 2020
– XTREME Benchmark
– Dataset of the Week: XNLI
Software is Eating the World
From Andreessen Horowitz’s blog, they give a very sobering look on the underworld of AI startups. The post highlights the difficulties in dealing with edge cases, domain shift, computational cost and other headaches. Having deployed AI models myself, this post is fairly accurate.
At a technical level, artificial intelligence seems to be the future of software. AI is showing remarkable progress on a range of difficult computer science problems, and the job of software developers…