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Fileread (@FilereadAI) profile picture

AI powered fact finding. Human powered analysis.

New York
Joined April 2021
In this podcast episode, @FilereadAI's Josh Kreamer explores insights that are hidden in businesses’ burgeoning data lakes — and how #LegalDataIntelligence can help today’s legal professionals extract the greatest possible value from them: ow.ly/7CSG50Sc32t
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Legal x AI is the future!
Who did I miss in the legal x AI market map? Tag them below ⬇️ We at @lightspeedvp believe now is an exciting time to build in legal tech x AI as a confluence of tech and business factors have finally paved the way for meaningful disruption in the market. lsvp.com/legaltech-x-ai-the-… We've put together some thoughts on: - The “why now” to build outsized opportunities in legal tech - Market areas we are most excited about - Common pitfalls to avoid that we see from founders building in legal x AI - Musings on the evolution of the industry over time If you're building in the legal x AI space, I'd love to chat so please reach out :) [email protected]
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Fileread retweeted
One of the best things we did while building for @FilereadAI. Can't recommend enough what @davefontenot, @escliu, @EmilyatHF0 have built. The focus, guidance, and community is unparalleled for building.
HF0 is now the most selective AI residency in the world. Last batch, 2500 teams applied. And we still only work with ten. Early application deadline for the next batch is this Sunday. Apply now: hf0.com (1/5)
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Great to be working with Gradient!
So fun to be interviewed by @mlevram @FortuneMagazine about all things AI and always love giving shoutouts to @GradientVC portcos @FilereadAI @Range_finance @NotionHQ! Thank you for having me on! fortune.com/videos/watch/AI-…
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Wow this is big news. Excited to see what can be done with this! teapawt.net/ylecun/status/16813362…
This is huge: Llama-v2 is open source, with a license that authorizes commercial use! This is going to change the landscape of the LLM market. Llama-v2 is available on Microsoft Azure and will be available on AWS, Hugging Face and other providers Pretrained and fine-tuned models are available with 7B, 13B and 70B parameters. Llama-2 website: ai.meta.com/llama/ Llama-2 paper: ai.meta.com/research/publica… A number of personalities from industry and academia have endorsed our open source approach: about.fb.com/news/2023/07/ll…
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HF0 has been going incredibly well. We were going to start our next batch in the new year but... We decided we couldn't wait that long. We're taking applications effective immediately for a batch that this fall. See you there.
Founders have been asking us when the next HF0 batch is. There’s more interest than ever. And we just decided to launch another batch this year. - 10 teams - $500k uncapped - The best place in the world to build Apply now: HF0.com (1/5)
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Hi @buhler_evan, Only @comrade_koh (Chan Koh) and @freya_zhou are on Twitter!
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What’s the most tedious part of ediscovery? #litigation #ediscovery #discovery
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A 🧵looking at DeepMind's Retro Transformer, which at 7.5B parameters is on par with GPT3 and models 25X its size in knowledge-intensive tasks. A big moment for Large Language Models (LLMs) for reasons I'll mention in this thread. deepmind.com/research/public…
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Interesting read! Have you seen any legaltech companies successfully demonstrate value? Would love to hear what firms respond well to.
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BERT - or Bidirectional Encoder Representations from Transformers - offers a new searching workflow that requires less precision and tediousness—and could potentially save an organization tremendous amounts of time and money: ow.ly/KHIf50FxQfu @FilereadAI #ediscovery
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