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Berkeley Technology Law Journal Podcast: The Capabilities and Limitations of ChatGPT with Professor Chris Hoofnagle

Berkley Technology Law Journal

In today’s episode, we’ll be diving into the fascinating world of one of the most advanced machine learning tools out there: ChatGPT. Professor Hoofnagle] 03:03 ChatGPT is the newest iteration of a machine learning technology that can generate text. I’m your host, Eric Ahern.

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The Future of AI within LexisNexis and the Legal Industry with Lexis CTO Jeff Reihl – TGIR Ep. 197

3 Geeks and a Law Blog

They began using tools like Google’s BERT AI as early as 2018 and included AI functionality in many of their products on the backend of the resources. And around 2018, we started using Burr, which was one of the first Large Language Models that Google put out at that time. Aaron Crews as SVP of analytics and AI at UnitedLex.

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Guest Post: The Caselaw Access Project — Then, Now, Tomorrow

LawSites

And so we had to end scanning in early 2017, although eventually we were able to extend it into 2018. We launched both the API and the bulk data service publicly in late 2018 and got a wave of favorable publicity. I’ve heard people question these compromises, as if they made the project pointless. That’s bunk.

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The evolution of Natural Language Processing and its impact on the legal sector. Why learning by example is the only way to optimise language models

lawtomated

What I later learned was that hearing Spanish, in real-life scenarios, was the best way to expand my vocabulary and develop my linguistic skills. In 2018, a paper was published introducing the language model ‘ELMo”. It is a machine learning technique applying the bidirectional training of Transformer’s encoder.

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The Future of AI within LexisNexis and the Legal Industry with Lexis CTO Jeff Reihl – TGIR Ep. 197

Legal Tech Monitor

They began using tools like Google’s BERT AI as early as 2018 and included AI functionality in many of their products on the backend of the resources. And around 2018, we started using Burr, which was one of the first Large Language Models that Google put out at that time. Aaron Crews as SVP of analytics and AI at UnitedLex.

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Time to Vote: You Get to Pick the Startup Alley Finalists for ABA TECHSHOW 2022

LawSites

Founded: 9/8/2018. How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machine learning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B

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Voting Is Open! Pick the 15 Finalists to Compete At Startup Alley at ABA TECHSHOW 2024 in February

Above the Law - Technology

Demo video: [link] Founded: 2/1/2018, Washington DC. Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machine learning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Who are your competitors?

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