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The tech behind Artifact, the newly launched news aggregator from Instagram’s co-founders

Flipboard

Late last month, Artifact , a personalized news reader built by Instagram’s co-founders, opened to the public. The launch was a surprise to many consumers, who wondered why the team behind one of the world’s most iconic social apps would return to startups to focus on one of the toughest areas instead: news.

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This AI newsletter is all you need #34

Towards AI

What people call “Generative AI” is increasingly looking to be the next major platform for founders and startups to use to build new products. This week we published a new blog Learn Prompting 101: Prompt Engineering Course & Challenges as a summary of Prompt Engineering and how to talk to LLMs and get the most out of them.

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This AI newsletter is all you need #88

Towards AI

Google’s Gemma models were a somewhat surprising entry into the open-source LLM arena, with new 2B and 7B models debatably leading their categories on benchmarks. The startup is also launching its alternative to ChatGPT with a new service called Le Chat, currently available in beta. How Many News […]

AI 101
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Venture Capitalists: AI Now Significant Part of Funding Pitches

ODSC - Open Data Science

In short, he said unless the startup/company puts out a product that’s “ just flying off the shelves. ”, free distribution isn’t going to happen. Subscribe to our weekly newsletter here and receive the latest news every Thursday. You can also get data science training on-demand wherever you are with our Ai+ Training platform.

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10 Years Later: Who’s the GOAT of Data Catalogs?

Alation

As I reflected on this topic, it occurred to me that software categories should be no different. How Do You Determine the GOAT for a Software Category? But how do you determine the GOAT for a software category? But it’s worth pointing out that Alation created the data catalog product category years before this market took off.

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Named Entity Recognition With SpaCy

Heartbeat

Classification: Each phrase is then classified into specific named entity categories, such as a person, organization, location, date, or numerical expression. The output is a list of named entities and their corresponding categories. SpaCy supports several categories of named entities, including PERSON, ORG, GPE, DATE, TIME, and MONE.

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Data labeling a practical guide (2023)

Snorkel AI

ML researchers and practitioners at AI startups and large enterprises have relied on curating additional labeled data to achieve better performance on specific tasks. Focusing primarily on developing data sets falls into the category of data-centric AI — which stands in contrast to model-centric AI.