LLMS - AI Dynamics

Anthropic Releases Claude 2 with Improved Performance and API Access

By

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11 July 2023 16h32

Anthropic releases Claude 2

blog: https://t.co/KWvNAr4OrA

Claude 2 has improved performance, longer responses, and can be accessed via API as well as a new public-facing beta website, https://t.co/jii3kaE2Dh. We have heard from our users that Claude is easy to converse with,… pic.twitter.com/GwopSc16le
— AK (@_akhaliq) 11 juillet 2023

Anthropic releases Claude 2 blog: https://
anthropic.com/index/claude-2 Claude 2 has improved performance, longer responses, and can be accessed via API as well as a new public-facing beta website, http://
claude.ai. We have heard from our users that Claude is easy to converse with,

→ View original post on X — @_akhaliq

11 July 2023

DeepMind LLMs and Responsible AI Development Discussion

By

@demishassabis

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11 July 2023 16h03

Great conversation with @reckless from @verge about @googledeepmind
, LLMs, and how we build AI responsibly

→ View original post on X — @demishassabis

11 July 2023

AI tackles mathematics breakthrough and applications

By

@dr_l_alexandre

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11 July 2023 12h19

Et maintenant l'intelligence artificielle s'attaque aux mathématiques

→ Voir le post original sur X — @dr_l_alexandre

11 July 2023

h2oGPT Demo: Future of Open Source AI

By

@h2oai

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11 July 2023 5h23

We are back with yet another demo video, this time helping you to dive into the Future of #OpenSource AI with #h2oGPT! h2oGPT is a fully permissive Apache V2 open-source project for 100% private and secure use of LLMs. https://
youtube.com/watch?v=Gx1TDr
HFABo&feature=youtu.be#AI
…

→ View original post on X — @h2oai

11 July 2023

Understanding GPT Tokenizers: A Deep Learning Guide

By

@miketamir

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11 July 2023 3h01

Understanding GPT tokenizers https://
bit.ly/3Nbe2fJ #AI #MachineLearning #DeepLearning #LLMs #DataScience

→ View original post on X — @miketamir

11 July 2023

Clarification on longer-context models and future evaluation possibilities

By

@rasbt

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11 July 2023 2h52

Yes, sorry I see what you mean. I didn’t mean to imply that they studied these longer-context models like LongNet above. I was just referencing that we talked about these models (it would have been impossible for the authors to eval it at that time, but hopefully in the future)

→ View original post on X — @rasbt

11 July 2023

Open-source collaboration to build competitive LLMs

By

@replit

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10 July 2023 22h01

We need more collaboration in the open-source community to help produce LLMs that can go toe-to-toe with GPT-4.

To learn more watch the full AI panel with MosaicML’s Chief Scientist Jonathan Frankle in conversation with Replit’s Amjad Masad and Michele Catasta. pic.twitter.com/VeajA41d6d
— Replit ⠕ (@Replit) 10 juillet 2023

We need more collaboration in the open-source community to help produce LLMs that can go toe-to-toe with GPT-4. To learn more watch the full AI panel with MosaicML’s Chief Scientist Jonathan Frankle in conversation with Replit’s Amjad Masad and Michele Catasta.

→ View original post on X — @replit

10 July 2023

Quality Chat Datasets Essential for Open Source LLM Improvement

By

@replit

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10 July 2023 22h01

We need good quality chat data sets, not just those scraped from GPT-4, to improve the standard of open source LLMs.

Watch the full AI panel at https://t.co/KWfZYbRuUN pic.twitter.com/Xpn9n4wHjL
— Replit ⠕ (@Replit) 10 juillet 2023

We need good quality chat data sets, not just those scraped from GPT-4, to improve the standard of open source LLMs. Watch the full AI panel at https://
youtu.be/B-szEQsQ9yI

→ View original post on X — @replit

10 July 2023

DePlot: Multi-modal AI Tool for Chart Analysis

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@googleai

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10 July 2023 20h57

Curious to know more about DePlot, the tool for multi-modal chain-of-thought reasoning on plots and charts? Drop by the #ACL2023 Google booth today at 3:30pm where @eisenjulian will explain how it is able to answer complex questions about charts and even summarize content!

→ View original post on X — @googleai

10 July 2023

GroqSpotlight: LLMs, Low Latency Inference, and Human Capital Maximization

By

@groqinc

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10 July 2023 18h33

Our next GroqSpotlight is with our CEO & founder, @JonathanRoss321
, and Brand VP, @lifebypixels
. Hear how #LLMs are shaping #AI, how the workload will maximize human capital, and the importance of #lowlatency #inference. Watch at http://
groq.link/sljuly or on our YouTube channel.

→ View original post on X — @groqinc

10 July 2023