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Want to build a startup off OpenAI? Start here

Flipboard

OpenAI’s impressive technology stack led to a wave of startups building on top of its models and offerings. This is a popular topic on TechCrunch+, where columnists spend considerable time discussing how startups can take advantage of OpenAI.

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The AI Gold Rush

Hacker News

The topic is everywhere –news stories, blogs, podcasts, startup investments, analyst reports, hackathons, and government announcements. Large language models (LLMs) have overrun commercial markets, more like a tsunami than a normal technical wave of interest. A virtual frenzy surrounds it.

AI 143
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Best AI programming languages in 2022 (And how to choose one?)

Dataconomy

Every major tech business and even startups are working on artificial intelligence (AI), which has emerged as one of the hottest issues and largest study disciplines. It’s a tremendously broad topic. It is a crucial question for your company’s future.

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Few Shot NLP Intent Classification

Towards AI

OpenAI’s ChatGPT changed that with its incredible reasoning abilities, which allowed a Large Language Model (LLM) to decide how to answer users’ questions on various topics without explicitly programming a flow for handling each topic. You just “prompt” the LLM on which topics to respond to and which to decline and let the LLM decide.

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The evolution of consumer sentiment analysis tools and the role of startups

Dataconomy

Consumer sentiment analysis isn’t a flashy topic or mind-blowing concept, yet the importance of these tools in business is hot and getting hotter. Startup companies are now leveling the playing field for small and medium businesses to gain access to consumer sentiment data. Websites track trends, “best of the best” lists, and more.

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MakeBlobs + Fictional Synthetic Data A New(ish) Use Case

Towards AI

Breathing new life into your projects (and your data science practice) with this lesser-known SkLearn module From the west edition of the Open Data Science Conference (ODSC), one of the “buzziest” panels was on the topic of synthetic data. Image Credit: ODSC Conference. Join thousands of data leaders on the AI newsletter.

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Prompt Engineering Best Practices: Text Expansion

Towards AI

Prompt Engineering for Instruction-Tuned LLMs Text expansion is the task of taking a shorter piece of text, such as a set of instructions or a list of topics, and having the large language model generate a longer piece of text, such as an email or an essay about some topic. Join thousands of data leaders on the AI newsletter.

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